|
Average inflation for dwellings over 5 years
|
NHB RESIDEX |
Bangalore |
2020 |
|
|
4.34% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology well documented |
Data based on valuation data collected from primary lending institutions |
NHB is wholly owned by the Reserve Bank of India |
Done for Municipal Corporation with administrative and planning boundaries |
Data from within last 2 years |
Data based on valuation data collected from primary lending institutions |
Data is publicly available and only minimal calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Bangalore |
NHB RESIDEXLink to source |
2021-09-21 |
2020 |
-1.69% |
Dwelling inflation year 2 |
Bangalore |
NHB RESIDEXLink to source |
2021-09-21 |
2019 |
4.42% |
Dwelling inflation year 3 |
Bangalore |
NHB RESIDEXLink to source |
2021-09-21 |
2018 |
6.60% |
Dwelling inflation year 4 |
Bangalore |
NHB RESIDEXLink to source |
2021-09-21 |
2017 |
6.00% |
Dwelling inflation year 5 |
Bangalore |
NHB RESIDEXLink to source |
2021-09-21 |
2016 |
6.38% |
|
|
Average inflation for dwellings over 5 years |
NHB RESIDEX |
Mumbai |
2020 |
|
|
3.16% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology well documented |
Data based on valuation data collected from primary lending institutions |
NHB is wholly owned by the Reserve Bank of India |
Done for Municipal Corporation with administrative and planning boundaries |
Data from within last 2 years |
Data based on valuation data collected from primary lending institutions |
Data is publicly available and only minimal calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Mumbai |
NHB RESIDEXLink to source |
2021-09-21 |
2020 |
-4.46% |
Dwelling inflation year 2 |
Mumbai |
NHB RESIDEXLink to source |
2021-09-21 |
2019 |
6.66% |
Dwelling inflation year 3 |
Mumbai |
NHB RESIDEXLink to source |
2021-09-21 |
2018 |
1.94% |
Dwelling inflation year 4 |
Mumbai |
NHB RESIDEXLink to source |
2021-09-21 |
2017 |
8.42% |
Dwelling inflation year 5 |
Mumbai |
NHB RESIDEXLink to source |
2021-09-21 |
2016 |
3.26% |
|
|
Average inflation for dwellings over 5 years |
NHB RESIDEX |
Ahmedabad |
2020 |
|
|
11.32% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology well documented |
Data based on valuation data collected from primary lending institutions |
NHB is wholly owned by the Reserve Bank of India |
Done for Municipal Corporation with administrative and planning boundaries |
Data from within last 2 years |
Data based on valuation data collected from primary lending institutions |
Data is publicly available and only minimal calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Ahmedabad |
NHB RESIDEXLink to source |
2021-09-21 |
2020 |
7.59% |
Dwelling inflation year 2 |
Ahmedabad |
NHB RESIDEXLink to source |
2021-09-21 |
2019 |
20.83% |
Dwelling inflation year 3 |
Ahmedabad |
NHB RESIDEXLink to source |
2021-09-21 |
2018 |
15.38% |
Dwelling inflation year 4 |
Ahmedabad |
NHB RESIDEXLink to source |
2021-09-21 |
2017 |
10.63% |
Dwelling inflation year 5 |
Ahmedabad |
NHB RESIDEXLink to source |
2021-09-21 |
2016 |
2.17% |
|
|
Average inflation for dwellings over 5 years |
NHB RESIDEX |
Bhubaneswar |
2020 |
|
|
5.67% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology well documented |
Data based on valuation data collected from primary lending institutions |
NHB is wholly owned by the Reserve Bank of India |
Done for Municipal Corporation with administrative and planning boundaries |
Data from within last 2 years |
Data based on valuation data collected from primary lending institutions |
Data is publicly available and only minimal calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Bhubaneswar |
NHB RESIDEXLink to source |
2021-09-21 |
2020 |
-6.40% |
Dwelling inflation year 2 |
Bhubaneswar |
NHB RESIDEXLink to source |
2021-09-21 |
2019 |
13.63% |
Dwelling inflation year 3 |
Bhubaneswar |
NHB RESIDEXLink to source |
2021-09-21 |
2018 |
4.76% |
Dwelling inflation year 4 |
Bhubaneswar |
NHB RESIDEXLink to source |
2021-09-21 |
2017 |
14.13% |
Dwelling inflation year 5 |
Bhubaneswar |
NHB RESIDEXLink to source |
2021-09-21 |
2016 |
2.22% |
|
|
Average inflation for dwellings over 5 years |
NHB RESIDEX |
Delhi |
2020 |
|
|
-1.32% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology well documented |
Data based on valuation data collected from primary lending institutions |
NHB is wholly owned by the Reserve Bank of India |
Done for Municipal Corporation with administrative and planning boundaries |
Data from within last 2 years |
Data based on valuation data collected from primary lending institutions |
Data is publicly available and only minimal calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Delhi |
NHB RESIDEXLink to source |
2021-09-21 |
2020 |
-1.14% |
Dwelling inflation year 2 |
Delhi |
NHB RESIDEXLink to source |
2021-09-21 |
2019 |
-12.12% |
Dwelling inflation year 3 |
Delhi |
NHB RESIDEXLink to source |
2021-09-21 |
2018 |
-1.98% |
Dwelling inflation year 4 |
Delhi |
NHB RESIDEXLink to source |
2021-09-21 |
2017 |
-7.33% |
Dwelling inflation year 5 |
Delhi |
NHB RESIDEXLink to source |
2021-09-21 |
2016 |
15.95% |
|
|
Average inflation for dwellings over 5 years |
NHB RESIDEX |
Urban |
2020 |
|
|
3.76% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology well documented |
Data based on valuation data collected from primary lending institutions |
NHB is wholly owned by the Reserve Bank of India |
Includes only 50 cities out of 4000+ in India |
Data from within last 2 years |
Includes only 50 cities out of 4000+ in India and data based on valuation data collected from primary lending institutions |
Data is publicly available and only minimal calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Urban |
NHB RESIDEXLink to source |
2021-09-21 |
2020 |
2.40% |
Dwelling inflation year 2 |
Urban |
NHB RESIDEXLink to source |
2021-09-21 |
2019 |
3.98% |
Dwelling inflation year 3 |
Urban |
NHB RESIDEXLink to source |
2021-09-21 |
2018 |
5.22% |
Dwelling inflation year 4 |
Urban |
NHB RESIDEXLink to source |
2021-09-21 |
2017 |
3.63% |
Dwelling inflation year 5 |
Urban |
NHB RESIDEXLink to source |
2021-09-21 |
2016 |
3.55% |
|
|
% of households that own their dwelling
|
NSSO 76th Round |
Bangalore |
2018 |
|
|
33% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
1,010,076 |
Number of households |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
3,071,861 |
|
|
% of households that own their dwelling |
NSSO 76th Round |
Mumbai |
2018 |
|
|
65% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area |
Data was collected 4 years ago |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area and data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
1,744,862 |
Number of households |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
2,687,057 |
|
|
% of households that own their dwelling |
NSSO 76th Round |
Ahmedabad |
2018 |
|
|
74% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
1,215,838 |
Number of households |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
1,643,391 |
|
|
% of households that own their dwelling |
NSSO 76th Round |
Bhubaneswar |
2018 |
|
|
55% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part. |
Data was collected 4 years ago |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part and data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
194,357 |
Number of households |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
355,630 |
|
|
% of households that own their dwelling |
NSSO 76th Round |
Delhi |
2018 |
|
|
57% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
2,366,682 |
Number of households |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
4,156,800 |
|
|
% of households that own their dwelling |
NSSO 76th Round |
National |
2018 |
|
|
85% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
National |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
230,425,587 |
Number of households |
National |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
271,098,880 |
|
|
% of households that own their dwelling |
NSSO 76th Round |
Bottom 40 |
2018 |
|
|
54% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Bottom 40 |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
20,246,675 |
Number of households |
Bottom 40 |
NSSO 76th Round (2018-19)Link to source |
2021-10-30 |
2018 |
37,085,897 |
|
|
% of households with female or joint ownership of a dwelling
|
National Family Health Survey - 4 |
Bangalore |
2016 |
|
|
25% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female or joint ownership of a dwelling |
Bangalore |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
675,227 |
Number of households |
Bangalore |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
2,681,602 |
|
|
% of households with female or joint ownership of a dwelling |
National Family Health Survey - 4 |
Mumbai |
2016 |
|
|
23% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female or joint ownership of a dwelling |
Mumbai |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
1,007,316 |
Number of households |
Mumbai |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
4,398,759 |
|
|
% of households with female or joint ownership of a dwelling |
National Family Health Survey - 4 |
Ahmedabad |
2016 |
|
|
14% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female or joint ownership of a dwelling |
Ahmedabad |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
218,561 |
Number of households |
Ahmedabad |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
1,586,074 |
|
|
% of households with female or joint ownership of a dwelling |
National Family Health Survey - 4 |
Bhubaneswar |
2016 |
|
|
11% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part. |
Data was collected 6 years ago |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part and data was collected 6 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female or joint ownership of a dwelling |
Bhubaneswar |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
28,601 |
Number of households |
Bhubaneswar |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
253,109 |
|
|
% of households with female or joint ownership of a dwelling |
National Family Health Survey - 4 |
Delhi |
2016 |
|
|
27% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female or joint ownership of a dwelling |
Delhi |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
1,599,462 |
Number of households |
Delhi |
National Family Health Survey - 4 and UN population projectionsLink to source |
2021-10-31 |
2016 |
5,826,821 |
|
|
% of households with female or joint ownership of a dwelling |
National Family Health Survey - 4 |
National |
2016 |
|
|
15% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female or joint ownership of a dwelling |
National |
National Family Health Survey - 4 and Census projectionsLink to source |
2021-10-31 |
2016 |
42,268,893 |
Number of households |
National |
National Family Health Survey - 4 and Census projectionsLink to source |
2021-10-31 |
2016 |
275,009,064 |
|
|
% of households with female or joint ownership of a dwelling |
National Family Health Survey - 4 |
Bottom 40 |
2016 |
|
|
21% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female or joint ownership of a dwelling |
Bottom 40 |
National Family Health Survey - 4 and Census projectionsLink to source |
2021-10-31 |
2016 |
8,095,343 |
Number of households |
Bottom 40 |
National Family Health Survey - 4 and Census projectionsLink to source |
2021-10-31 |
2016 |
38,151,277 |
|
|
% of households with female ownership of a dwelling
|
National Family Health Survey - 4 |
Bangalore |
2016 |
|
|
25% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Bangalore |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
668,255 |
Number of households |
Bangalore |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
2,681,602 |
|
|
% of households with female ownership of a dwelling |
National Family Health Survey - 4 |
Mumbai |
2016 |
|
|
22% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Mumbai |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
962,009 |
Number of households |
Mumbai |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
4,398,759 |
|
|
% of households with female ownership of a dwelling |
National Family Health Survey - 4 |
Ahmedabad |
2016 |
|
|
13% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Ahmedabad |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
206,824 |
Number of households |
Ahmedabad |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
1,586,074 |
|
|
% of households with female ownership of a dwelling |
National Family Health Survey - 4 |
Bhubaneswar |
2016 |
|
|
11% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part. |
Data was collected 6 years ago |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part and data was collected 6 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
% of households with female ownership of a dwelling |
Bhubaneswar |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
11% |
Number of households with female ownership of a dwelling |
Bhubaneswar |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
27,969 |
Number of households |
Bhubaneswar |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
253,109 |
|
|
% of households with female ownership of a dwelling |
National Family Health Survey - 4 |
Delhi |
2016 |
|
|
25% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
% of households with female ownership of a dwelling |
Delhi |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
25% |
Number of households with female ownership of a dwelling |
Delhi |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
1,432,233 |
Number of households |
Delhi |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
5,826,821 |
|
|
% of households with female ownership of a dwelling |
National Family Health Survey - 4 |
National |
2016 |
|
|
14% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
% of households with female ownership of a dwelling |
National |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
14% |
Number of households with female ownership of a dwelling |
National |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
38,446,267 |
Number of households |
National |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
275,009,064 |
|
|
% of households with female ownership of a dwelling |
National Family Health Survey - 4 |
Bottom 40 |
2016 |
|
|
20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 6 years ago |
Data was collected 6 years ago. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
% of households with female ownership of a dwelling |
Bottom 40 |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
20% |
Number of households with female ownership of a dwelling |
Bottom 40 |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
7,481,864 |
Number of households |
Bottom 40 |
National Family Health Survey - 4Link to source |
2021-10-31 |
2016 |
38,151,277 |
|
|
World Bank DBI equal access to property rights index ranking: Asia
|
World Bank |
Mumbai |
2020 |
|
|
Tied 1 with 46 countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Asia |
Mumbai |
World BankLink to source |
2021-10-29 |
2020 |
Tied 1 with 46 countries out of 48 |
|
|
World Bank DBI equal access to property rights index ranking: Asia |
World Bank |
Delhi |
2020 |
|
|
Tied 1 with 46 countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Asia |
Delhi |
World BankLink to source |
2021-10-29 |
2020 |
Tied 1 with 46 countries out of 48 |
|
|
World Bank DBI equal access to property rights index ranking: Asia |
World Bank |
National |
2020 |
|
|
Tied 1 with 44 countries out of 46 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Asia |
National |
World BankLink to source |
2021-10-29 |
2020 |
Tied 1 with 44 countries out of 46 |
|
|
World Bank DBI equal access to property rights index ranking: Global
|
World Bank |
Mumbai |
2020 |
|
|
Tied 1 with 173 countries out of 188 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Global |
Mumbai |
World BankLink to source |
2021-10-29 |
2020 |
Tied 1 with 173 countries out of 188 |
|
|
World Bank DBI equal access to property rights index ranking: Global |
World Bank |
Delhi |
2020 |
|
|
Tied 1 with 173 countries out of 188 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Global |
Delhi |
World BankLink to source |
2021-10-29 |
2020 |
Tied 1 with 173 countries out of 188 |
|
|
World Bank DBI equal access to property rights index ranking: Africa/Asia |
World Bank |
National |
2020 |
|
|
Tied 1 with 171 countries out of 186 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Global |
National |
World BankLink to source |
2021-10-29 |
2020 |
Tied 1 with 171 countries out of 186 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor
|
Real estate websites and industry experts |
Urban |
2022 |
|
|
160,000 IN₹$2,176.87 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published or secondary information. |
Only covers the cities included within the MSI work. |
Known sources in the industry. |
Only covers MSI cities, and information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Only covers MSI cities, data is dynamic and is not systematically published on real estate websites, limited inputs from industry experts. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Urban |
Real estate websites and local developers |
2022-01-07 |
2022 |
160,000 IN₹$2,176.87 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and industry experts |
Bangalore |
2022 |
|
|
1,300,000 IN₹$17,687.07 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published or secondary information. |
Matches the definition perfectly. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published on real estate websites, limited inputs from industry experts. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Bangalore |
Real estate websites and industry experts |
2022-01-07 |
2022 |
1,300,000 IN₹$17,687.07 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and local developers |
Mumbai |
2022 |
|
|
630,000 IN₹$8,571.43 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published or secondary information. |
Matches the definition perfectly. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published on real estate websites, limited inputs from industry experts. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Mumbai |
Real estate websites and local developers |
2022-01-10 |
2022 |
630,000 IN₹$8,571.43 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and local developers |
Ahmedabad |
2022 |
|
|
160,000 IN₹$2,176.87 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published or secondary information. |
Matches the definition perfectly. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published on real estate websites, limited inputs from industry experts. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Ahmedabad |
Real estate websites and local developers |
2022-01-07 |
2022 |
160,000 IN₹$2,176.87 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and local developers |
Bhubaneswar |
2022 |
|
|
531,000 IN₹$7,224.49 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published or secondary information. |
Matches the definition perfectly. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published on real estate websites, limited inputs from industry experts. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Bhubaneswar |
Real estate websites and local developers |
2022-01-10 |
2022 |
531,000 IN₹$7,224.49 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and local developers |
Delhi |
2022 |
|
|
600,000 IN₹$8,163.27 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published or secondary information. |
Matches the definition perfectly. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published on real estate websites, limited inputs from industry experts. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Delhi |
Real estate websites and local developers |
2022-01-07 |
2022 |
600,000 IN₹$8,163.27 |
|
|
% of households that rent their dwelling
|
NSSO 76th Round |
Bangalore |
2018 |
|
|
65% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Bangalore |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
2,007,684 |
Number of households |
Bangalore |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
3,071,861 |
|
|
% of households that rent their dwelling |
NSSO 76th Round |
Mumbai |
2018 |
|
|
35% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area |
Data was collected 4 years ago |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area and data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Mumbai |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
930,149 |
Number of households |
Mumbai |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
2,687,057 |
|
|
% of households that rent their dwelling |
NSSO 76th Round |
Ahmedabad |
2018 |
|
|
27% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Ahmedabad |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
440,683 |
Number of households |
Ahmedabad |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
1,643,391 |
|
|
% of households that rent their dwelling |
NSSO 76th Round |
Bhubaneswar |
2018 |
|
|
41% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part. |
Data was collected 4 years ago |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part and data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Bhubaneswar |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
144,480 |
Number of households |
Bhubaneswar |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
355,630 |
|
|
% of households that rent their dwelling |
NSSO 76th Round |
Delhi |
2018 |
|
|
39% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Delhi |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
1,611,545 |
Number of households |
Delhi |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
4,156,800 |
|
|
% of households that rent their dwelling |
NSSO 76th Round |
National |
2018 |
|
|
13% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
35,463,396 |
Number of households |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
271,098,880 |
|
|
% of households that rent their dwelling |
NSSO 76th Round |
Bottom 40 |
2018 |
|
|
38% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Bottom 40 |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
14,129,004 |
Number of households |
Bottom 40 |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
37,085,897 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor
|
Real estate websites and industry experts |
Bangalore |
2022 |
|
|
6,000 IN₹$81.63 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published. |
Rental data analyzed by size of the cheapest dwelling not price. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published and proxy used for cheapest dwelling. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Bangalore |
Real estate websites and industry experts |
2022-01-07 |
2022 |
6,000 IN₹$81.63 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and industry experts |
Mumbai |
2022 |
|
|
13,150 IN₹$178.91 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published. |
Rental data analyzed by size of the cheapest dwelling not price. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published and proxy used for cheapest dwelling. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Mumbai |
Real estate websites and industry experts |
2022-01-07 |
2022 |
13,150 IN₹$178.91 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and industry experts |
Ahmedabad |
2022 |
|
|
5,578 IN₹$75.89 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published. |
Rental data analyzed by size of the cheapest dwelling not price. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published and proxy used for cheapest dwelling. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Ahmedabad |
Real estate websites and industry experts |
2022-01-07 |
2022 |
5,578 IN₹$75.89 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and industry experts |
Bhubaneswar |
2022 |
|
|
4,694 IN₹$63.86 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published. |
Rental data analyzed by size of the cheapest dwelling not price. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published and proxy used for cheapest dwelling. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Bhubaneswar |
Real estate websites and industry experts |
2022-01-07 |
2022 |
4,694 IN₹$63.86 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor |
Real estate websites and industry experts |
Delhi |
2022 |
|
|
8,439 IN₹$114.82 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is dynamic and is not systematically published. |
Rental data analyzed by size of the cheapest dwelling not price. |
Known sources in the industry. |
Information posted on real estate websites is limited to their properties being advertised and limited inputs from industry experts. |
Data is most updated and recent. |
Data is dynamic and is not systematically published and proxy used for cheapest dwelling. |
Requires longitudinal data collection and requires some estimation and computations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor in local currency units |
Delhi |
Real estate websites and industry experts |
2022-01-07 |
2022 |
8,439 IN₹$114.82 |
|
|
Does government or industry publish any data on MINIMUM land prices in the main urban centre?
|
Department of Stamps and Registration, Government of Karnataka |
Bangalore |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publically available, can be done by all |
Matches the definition perfectly |
Government Source |
given for any area |
up to date |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Bangalore |
Department of Stamps and Registration, Government of KarnatakaLink to source |
2021-09-23 |
2021 |
Yes |
|
|
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Department of Stamps and Registration, Government of Maharashtra |
Mumbai |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publically available, can be done by all |
Matches the definition perfectly |
Government Source |
given for any area |
up to date |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Mumbai |
Department of Stamps and Registration, Government of MaharashtraLink to source |
2021-09-23 |
2021 |
Yes |
|
|
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Superintendent of Stamps, Government of Gujarat, Jantri Rates |
Ahmedabad |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publically available, can be done by all |
Matches the definition perfectly |
Government Source |
given for any area |
up to date |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Ahmedabad |
Superintendent of Stamps, Government of Gujarat, Jantri RatesLink to source |
2021-09-23 |
2021 |
Yes |
|
|
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Inspector General of Registration, Revenue and Disaster Management, Government of Odisha |
Bhubaneswar |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publically available, can be done by all |
Matches the definition perfectly |
Government Source |
given for any area |
up to date |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Bhubaneswar |
Inspector General of Registration, Revenue and Disaster Management, Government of OdishaLink to source |
2021-09-23 |
2021 |
Yes |
|
|
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Delhi Online Registration Information System, Government of NCT Delhi |
Delhi |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publically available, can be done by all |
Matches the definition perfectly |
Government Source |
given for any area |
up to date |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on MINIMUM land prices in the main urban centre? |
Delhi |
Delhi Online Registration Information System, Government of NCT DelhiLink to source |
2021-09-23 |
2021 |
Yes |
|
|
Number of formal estate agents
|
Respective State RERAs |
National |
2022 |
|
|
49,177 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
In some states, data is for agents applied for registration not necessarily approved. |
Government source. |
Data for 9 states/UTs not available. |
Current data. |
Data for 9 states/UTs not available and some data in some states includes applications as well as approvals. |
Directly available from websites but needs assimilating for different states. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal estate agents |
National |
Respective State RERAsLink to source |
2022-01-12 |
2022 |
49,177 |
|
|
Number of formal estate agents |
Karnataka Real Estate Regulatory Authority, Government of Karnataka |
Karnataka |
2022 |
|
|
3,040 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
published online |
Includes applications as well as approvals for RERA approved real estate agent status. |
Government Source |
Covers aggregate. |
current data |
Includes applications as well as approvals for RERA approved real estate agent status. |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal estate agents |
Karnataka |
Karnataka RERALink to source |
2022-01-12 |
2022 |
3,040 |
|
|
Number of formal estate agents |
Maharashtra Real Estate Regulatory Authority |
Maharashtra |
2022 |
|
|
31,153 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
published online |
Matches definition. |
Government Source |
Includes those approved in Union Territories of Dadra & Nagar Haveli |
current data |
Includes those approved in Union Territories of Dadra & Nagar Haveli |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal estate agents |
Maharashtra |
Maharashtra RERALink to source |
2021-10-01 |
2021 |
31,153 |
|
|
Number of formal estate agents |
Gujarat Real Estate Regulatory Authority, Government of Gujarat |
Gujarat |
2022 |
|
|
1,805 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
published online |
Matches definition. |
Government Source |
Covers aggregate. |
current data |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal estate agents |
Gujarat |
Gujarat RERALink to source |
2022-01-12 |
2022 |
1,805 |
|
|
Number of formal estate agents |
Real Estate Regulatory Authority, Government of Odisha |
Odisha |
2022 |
|
|
48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
published online |
Matches definition. |
Government Source |
Covers aggregate. |
current data |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal estate agents |
Odisha |
Odisha RERALink to source |
2022-01-12 |
2022 |
48 |
|
|
Number of formal estate agents |
Real Estate Regulatory Authority for NCT of Delhi |
Delhi - State |
2022 |
|
|
435 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
published online |
Matches definition. |
Government Source |
Covers aggregate. |
current data |
Timely and full match to the indicator definition from credible source |
publically available |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal estate agents |
Delhi - State |
Delhi RERALink to source |
2022-01-12 |
2022 |
435 |
|
|
World Bank DBI land dispute resolution index ranking: Asia
|
World Bank |
Mumbai |
2020 |
|
|
Tied 39 with 5 countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Asia |
Mumbai |
World BankLink to source |
2021-10-29 |
2020 |
Tied 39 with 5 countries out of 48 |
|
|
World Bank DBI land dispute resolution index ranking: Asia |
World Bank |
Delhi |
2020 |
|
|
Tied 39 with 5 countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Asia |
Delhi |
World BankLink to source |
2021-10-29 |
2020 |
Tied 39 with 5 countries out of 48 |
|
|
World Bank DBI land dispute resolution index ranking: Asia |
World Bank |
National |
2020 |
|
|
Tied 39 with 3 countries out of 46 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Asia |
National |
World BankLink to source |
2021-10-29 |
2020 |
Tied 39 with 3 countries out of 46 |
|
|
World Bank DBI land dispute resolution index ranking: Global
|
World Bank |
Mumbai |
2020 |
|
|
Tied 148 with 19 countries out of 188 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Global |
Mumbai |
World BankLink to source |
2021-10-29 |
2020 |
Tied 148 with 19 countries out of 188 |
|
|
World Bank DBI land dispute resolution index ranking: Global |
World Bank |
Delhi |
2020 |
|
|
Tied 148 with 19 countries out of 188 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Global |
Delhi |
World BankLink to source |
2021-10-29 |
2020 |
Tied 148 with 19 countries out of 188 |
|
|
World Bank DBI land dispute resolution index ranking: Global |
World Bank |
National |
2020 |
|
|
Tied 148 with 17 countries out of 186 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Matches the definition perfectly |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Data collected locally cannot be verified and the programme has been discontinued due to data irregularities found in data. |
Data available in the public domain but countries need to be ranked manually. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Global |
National |
World BankLink to source |
2021-10-29 |
2020 |
Tied 148 with 17 countries out of 186 |
|
|
Number of new residential transfers
|
JLL Residential Market Update |
Bangalore |
2020 |
|
|
10,440 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Matches the definition completely. |
Source is recognized in the sector. |
Matches the aggregate but likely undercounts informal sector construction. |
Data from within the last two years. |
Data from a recognized source available in public domain but likely undercounts informal sector construction. |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of new residential transfers |
Bangalore |
JLL Residential Market Update (Q1-Q4, 2020)Link to source |
2022-01-13 |
2020 |
10,440 |
|
|
Number of new residential transfers |
JLL Residential Market Update |
Mumbai |
2020 |
|
|
19,545 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Matches the definition completely. |
Source is recognized in the sector. |
Aggregate covers Mumbai city, Mumbai suburbs, Thane city, and Navi Mumbai and likely undercounts informal sector construction. |
Data from within the last two years. |
Data from a recognized source available in public domain but aggregate covers Mumbai city, Mumbai suburbs, Thane city, and Navi Mumbai and likely undercount informal sector construction. |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of new residential transfers |
Mumbai |
JLL Residential Market Update (Q1-Q4, 2020)Link to source |
2022-01-13 |
2020 |
19,545 |
|
|
Number of new residential transfers |
JLL Residential Market Update |
Delhi |
2020 |
|
|
15,743 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Matches the definition completely. |
Source is recognized in the sector. |
Aggregate covers Delhi NCR and likely undercount informal sector construction. |
Data from within the last two years. |
Data from a recognized source available in public domain but aggregate covers Delhi NCR and likely undercount informal sector construction. |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of new residential transfers |
Delhi |
JLL Residential Market Update (Q1-Q4, 2020)Link to source |
2022-01-13 |
2020 |
15,743 |
|
|
Number of new residential transfers |
JLL Residential Market Update |
National |
2020 |
|
|
74,451 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Matches the definition completely. |
Source is recognized in the sector. |
Covers only Bangalore, Mumbai, Chennai, Delhi NCR, Hyderabad, Kolkata and Pune and may undercount informal sector construction. |
Data from within the last two years. |
Data from a recognized source available in public domain but aggregate data is available for only seven of the largest cities in India and likely undercounts informal sector construction. |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of new residential transfers |
National |
JLL Residential Market Update (Q1-Q4, 2020)Link to source |
2022-01-13 |
2020 |
74,451 |
|
|
Number of residential transfers financed with a mortgage
|
Reserve Bank of India |
Bangalore |
2020 |
|
|
33,061 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Data of number of mortgages issued not necessarily for property transfers. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within the last two years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential transfers financed with a mortgage |
Bangalore |
Reserve Bank of IndiaLink to source |
2021-11-15 |
2020 |
33,061 |
|
|
Number of residential transfers financed with a mortgage |
Reserve Bank of India |
Mumbai |
2020 |
|
|
28,004 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Data of number of mortgages issued not necessarily for property transfers. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within the last two years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential transfers financed with a mortgage |
Mumbai |
Reserve Bank of IndiaLink to source |
2021-11-15 |
2020 |
28,004 |
|
|
Number of residential transfers financed with a mortgage |
Reserve Bank of India |
Ahmedabad |
2020 |
|
|
27,999 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Data of number of mortgages issued not necessarily for property transfers. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within the last two years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential transfers financed with a mortgage |
Ahmedabad |
Reserve Bank of IndiaLink to source |
2021-11-15 |
2020 |
27,999 |
|
|
Number of residential transfers financed with a mortgage |
Reserve Bank of India |
Bhubaneswar |
2020 |
|
|
1,831 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Data of number of mortgages issued not necessarily for property transfers. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within the last two years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential transfers financed with a mortgage |
Bhubaneswar |
Reserve Bank of IndiaLink to source |
2021-11-15 |
2020 |
1,831 |
|
|
Number of residential transfers financed with a mortgage |
Reserve Bank of India |
Delhi |
2020 |
|
|
6,027 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Data of number of mortgages issued not necessarily for property transfers. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within the last two years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential transfers financed with a mortgage |
Delhi |
Reserve Bank of IndiaLink to source |
2021-11-15 |
2020 |
6,027 |
|
|
Number of residential transfers financed with a mortgage |
National Housing Bank |
National |
2020 |
|
|
900,000 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data publicly available. |
Data of number of mortgages issued not necessarily for property transfers. |
Government source. |
Data covers SCBs and HFCs. |
Data from within the last two years. |
Data of number of mortgages issued not necessarily for property transfers. |
Data is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential transfers financed with a mortgage |
National |
National Housing Bank |
2021-12-01 |
2020 |
900,000 |
|
|
Income distribution thresholds
|
NSSO 76th Round |
National |
2018 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Expenditure used as a proxy for income. |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago and expenditure used as a proxy for income. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Annual household income distribution thresholds: 10th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
48,000 IN₹$653.06 |
Annual household income distribution thresholds: 20th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
64,800 IN₹$881.63 |
Annual household income distribution thresholds: 30th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
78,000 IN₹$1,061.22 |
Annual household income distribution thresholds: 40th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
93,396 IN₹$1,270.69 |
Annual household income distribution thresholds: 50th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
107,400 IN₹$1,461.22 |
Annual household income distribution thresholds: 60th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
120,000 IN₹$1,632.65 |
Annual household income distribution thresholds: 70th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
144,000 IN₹$1,959.18 |
Annual household income distribution thresholds: 80th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
179,664 IN₹$2,444.41 |
Annual household income distribution thresholds: 90th percentile |
National |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
233,004 IN₹$3,170.12 |
|
|
Income distribution thresholds |
NSSO 76th Round |
Bangalore |
2018 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Expenditure is used as a proxy for income. |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago and expenditure is used as a proxy for income. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Annual household income distribution thresholds: 10th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
78,000 IN₹$1,061.22 |
Annual household income distribution thresholds: 20th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
108,000 IN₹$1,469.39 |
Annual household income distribution thresholds: 30th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
125,004 IN₹$1,700.73 |
Annual household income distribution thresholds: 40th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
162,000 IN₹$2,204.08 |
Annual household income distribution thresholds: 50th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
192,000 IN₹$2,612.24 |
Annual household income distribution thresholds: 60th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
231,600 IN₹$3,151.02 |
Annual household income distribution thresholds: 70th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
260,796 IN₹$3,548.24 |
Annual household income distribution thresholds: 80th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
324,000 IN₹$4,408.16 |
Annual household income distribution thresholds: 90th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
435,996 IN₹$5,931.92 |
|
|
Income distribution thresholds |
NSSO 76th Round |
Mumbai |
2018 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Expenditure is used as a proxy for income. |
The data is collected by a credible govt. organization |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area |
Data was collected 4 years ago |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area and data was collected 4 years ago with expenditure as a proxy for income. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Annual household income distribution thresholds: 10th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
78,000 IN₹$1,061.22 |
Annual household income distribution thresholds: 20th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
125,280 IN₹$1,704.49 |
Annual household income distribution thresholds: 30th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
156,000 IN₹$2,122.45 |
Annual household income distribution thresholds: 40th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
180,000 IN₹$2,448.98 |
Annual household income distribution thresholds: 50th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
199,800 IN₹$2,718.37 |
Annual household income distribution thresholds: 60th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
234,000 IN₹$3,183.67 |
Annual household income distribution thresholds: 70th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
267,600 IN₹$3,640.82 |
Annual household income distribution thresholds: 80th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
336,000 IN₹$4,571.43 |
Annual household income distribution thresholds: 90th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
432,000 IN₹$5,877.55 |
|
|
Income distribution thresholds |
NSSO 76th Round |
Ahmedabad |
2018 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Expenditure is used as a proxy for income. |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago and expenditure is used as a proxy for income. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Annual household income distribution thresholds: 10th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
92,400 IN₹$1,257.14 |
Annual household income distribution thresholds: 20th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,000 IN₹$1,632.65 |
Annual household income distribution thresholds: 30th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
153,996 IN₹$2,095.18 |
Annual household income distribution thresholds: 40th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
180,000 IN₹$2,448.98 |
Annual household income distribution thresholds: 50th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
195,000 IN₹$2,653.06 |
Annual household income distribution thresholds: 60th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
226,500 IN₹$3,081.63 |
Annual household income distribution thresholds: 70th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
255,600 IN₹$3,477.55 |
Annual household income distribution thresholds: 80th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
294,600 IN₹$4,008.16 |
Annual household income distribution thresholds: 90th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
336,000 IN₹$4,571.43 |
|
|
Income distribution thresholds |
NSSO 76th Round |
Bhubaneswar |
2018 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Expenditure is used as a proxy for income. |
The data is collected by a credible govt. organization |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part. |
Data was collected 4 years ago |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part and data was collected 4 years ago with expenditure as a proxy for income. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Annual household income distribution thresholds: 10th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
48,000 IN₹$653.06 |
Annual household income distribution thresholds: 20th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
72,000 IN₹$979.59 |
Annual household income distribution thresholds: 30th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
87,600 IN₹$1,191.84 |
Annual household income distribution thresholds: 40th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,000 IN₹$1,632.65 |
Annual household income distribution thresholds: 50th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
144,000 IN₹$1,959.18 |
Annual household income distribution thresholds: 60th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
192,000 IN₹$2,612.24 |
Annual household income distribution thresholds: 70th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
240,000 IN₹$3,265.31 |
Annual household income distribution thresholds: 80th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
303,996 IN₹$4,136 |
Annual household income distribution thresholds: 90th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
360,000 IN₹$4,897.96 |
|
|
Income distribution thresholds |
NSSO 76th Round |
Delhi |
2018 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Expenditure is used as a proxy for income. |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago and expenditure is used as a proxy for income. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Annual household income distribution thresholds: 10th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
84,000 IN₹$1,142.86 |
Annual household income distribution thresholds: 20th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,000 IN₹$1,632.65 |
Annual household income distribution thresholds: 30th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
144,000 IN₹$1,959.18 |
Annual household income distribution thresholds: 40th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
168,000 IN₹$2,285.71 |
Annual household income distribution thresholds: 50th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
192,000 IN₹$2,612.24 |
Annual household income distribution thresholds: 60th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
216,000 IN₹$2,938.78 |
Annual household income distribution thresholds: 70th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
260,004 IN₹$3,537.47 |
Annual household income distribution thresholds: 80th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
312,000 IN₹$4,244.90 |
Annual household income distribution thresholds: 90th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
420,000 IN₹$5,714.29 |
|
|
Income distribution thresholds |
NSSO 76th Round |
Urban |
2018 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Expenditure is used as a proxy for income. |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago and expenditure is used as a proxy for income. |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Annual household income distribution thresholds: 10th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
60,000 IN₹$816.33 |
Annual household income distribution thresholds: 20th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
84,000 IN₹$1,142.86 |
Annual household income distribution thresholds: 30th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
106,800 IN₹$1,453.06 |
Annual household income distribution thresholds: 40th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,936 IN₹$1,645.39 |
Annual household income distribution thresholds: 50th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
144,000 IN₹$1,959.18 |
Annual household income distribution thresholds: 60th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
171,720 IN₹$2,336.33 |
Annual household income distribution thresholds: 70th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
194,700 IN₹$2,648.98 |
Annual household income distribution thresholds: 80th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
240,000 IN₹$3,265.31 |
Annual household income distribution thresholds: 90th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
300,000 IN₹$4,081.63 |
|
|
Value of formal housing finance issued per annum
|
National Housing Bank and TransUnion Cibil |
National |
2019 |
|
|
4,830,000,000,000 IN₹$65,714,285,714.29 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Detailed methodology not available in public domain. |
Matches the definition perfectly |
Data is collected by a credible government and private sector organization. |
Indicator value does not include data from TransUnion Cibil for last quarter of financial year 2018 |
Data 3 years old. |
Data from TransUnion Cibil does not include values of the last quarter, 3 years old data, detailed methodology not available in public domain. |
TransUnion Cibil information available in the public doman in a random manner, requires calculations of previous years and average across quarters |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Value of residential mortgages issued per annum in local currency units |
National |
National Housing Bank and TransUnion CibilLink to source |
2021-01-11 |
2019 |
4,830,000,000,000 IN₹$65,714,285,714.29 |
|
|
Value of formal housing finance outstanding
|
National Housing Bank and Reserve Bank of India |
National |
2020 |
|
|
19,600,000,000,000 IN₹$266,666,666,666.67 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Full report available. |
Data fully in line with definition. |
Regulatory bodies of HFCs and SCBs. |
Covers all residential mortgage providers. |
updated in the last 2 years. |
Timely and full match to the indicator definition from credible source. |
Publicly available, simple calculation required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Value of residential mortgages outstanding in local currency units |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-01-10 |
2020 |
19,600,000,000,000 IN₹$266,666,666,666.67 |
|
|
Maximum debt burden ratio
|
Reserve Bank of India |
Bangalore |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Bangalore |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum debt burden ratio |
Reserve Bank of India |
Mumbai |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Mumbai |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum debt burden ratio |
Reserve Bank of India |
Ahmedabad |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Ahmedabad |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum debt burden ratio |
Reserve Bank of India |
Bhubaneswar |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Bhubaneswar |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum debt burden ratio |
Reserve Bank of India |
Delhi |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Delhi |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum debt burden ratio |
Reserve Bank of India |
Urban |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Urban |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum debt burden ratio |
Reserve Bank of India |
National |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
National |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum debt burden ratio |
Reserve Bank of India |
Bottom 40 |
2021 |
|
|
40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches the definition perfectly |
Recognised source in the sector. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Current published information. |
Other sources suggest interchangable application of 40% on net and gross salary. |
Information publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Bottom 40 |
Housing.comLink to source |
2021-11-25 |
2021 |
40% |
|
|
Maximum LTV on a residential mortgage
|
Reserve Bank of India, Government Ministry |
National |
2021 |
|
|
90% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Laid out master direction guidelines. |
data fully in line with definition. |
Government Source. |
RBI issues the guidelines for Housing Finance Companies and Scheduled Commercial Banks. |
Current guidelines. |
Timely and full match to the indicator definition from credible source. |
Directly available online. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum LTV on a residential mortgage |
National |
Reserve Bank of India, Government MinistryLink to source |
2021-11-10 |
2021 |
90% |
|
|
Non-Performing residential mortgages as a % of total outstanding value of residential mortgages with the given value a percentage
|
National Housing Bank and Reserve Bank of India |
National |
2020 |
|
|
6% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented. |
Estimations for NPA on outstanding residential mortgages based on total advances and not outstanding loans, also GNPA ratio used for estimation not specific for residential loans. |
The data is collected by a credible govt. organization. |
The sample size is representative of the aggregate. |
Data only 1 year old. |
Publicly available recent data, however estimations based on total advances and not outstanding loans, also GNPA ratio used for estimation not specific for residential loans. |
Data available in public domain but need for basic calculations. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Value of outstanding non-performing residential mortgages by Housing Finance Companies under pervue of the National Housing Bank |
National |
National Housing BankLink to source |
2021-11-18 |
2020 |
100,000,000,000 |
Value of outstanding non-performing residential mortgages by Scheduled Commercial Banks under pervue of the Reserve Bank of India |
National |
Reserve Bank of IndiaLink to source |
2021-11-18 |
2020 |
1,100,000,000,000 |
Value of outstanding residential mortgages by Housing Finance Companies under pervue of the National Housing Bank |
National |
National Housing BankLink to source |
2021-11-18 |
2020 |
6,250,000,000,000 |
Value of outstanding residential mortgages by Scheduled Commercial Banks under pervue of the Reserve Bank of India |
National |
Reserve Bank of IndiaLink to source |
2021-11-18 |
2020 |
13,400,000,000,000 |
|
|
Does an operational mortgage refinancing company exist? I.e. an entity responsible for ensuring that finance is available to banks for on-lending.
|
National Housing Bank |
National |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Information publicly available. |
Matches the definition completely. |
Government source. |
Covers the aggregate. |
Most updated information. |
Timely and full match to the indicator definition from credible source. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does an operational mortgage refinancing company exist? I.e. an entity responsible for ensuring that finance is available to banks for on-lending. |
National |
National Housing BankLink to source |
2021-09-23 |
2021 |
Yes |
|
|
Value of residential mortgages outstanding as % of GDP
|
National Housing Bank, Reserve Bank of India and Ministry of Statistics and Programme Implementation, Government of India |
National |
2020 |
|
|
13.47% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Full report available. |
Data fully in line with definition. |
Government sources |
Covers all residential mortgage providers and national GDP. |
updated in the last 2 years. |
Timely and full match to the indicator definition from credible source. |
Publicly available, simple calculation required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Value of residential mortgages outstanding in local currency units |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-01-10 |
2020 |
19,600,000,000,000 |
Value of residential mortgages outstanding in local currency units |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-01 |
2020 |
19,600,000,000,000 |
GDP in nominal local currency units |
National |
Ministry of Statistics and Programme Implementation, Government of IndiaLink to source |
2021-10-21 |
2020 |
146,000,000,000,000 |
|
|
Mortgages as a % of properties
|
Reserve Bank of India and NSSO 76th round |
National |
2020 |
|
|
3.62% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is publicly available and methodology is well documented. |
For the denominator, the number of households is used as a proxy for the number of title deeds. |
Government sources. |
Data in the numerator includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Denominator data was collected 4 years ago. |
For the denominator, the number of households is used as a proxy for the number of title deeds and data in the numerator includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of outstanding residential mortgages |
National |
Reserve Bank of IndiaLink to source |
2021-10-01 |
2020 |
9,817,180 |
Total number of residential properties with a title deed |
National |
NSSO 76th Round Link to source |
2021-08-09 |
2018 |
271,098,880 |
|
|
Prevailing residential mortgage rates
|
National Housing Bank and Reserve Bank of India |
National |
2021 |
|
|
1.11-25% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Not all HFCs and SCBs publish rates publicly. |
Current published rates. |
Not all HFCs and SCBs publish rates publicly. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum residential mortgage rate |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
25.00% |
Minimum residential mortgage rate |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
1.11% |
|
|
Maximum residential mortgage term
|
National Housing Bank and Reserve Bank of India |
National |
2021 |
|
|
30 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Not all HFCs and SCBs publish rates publicly. |
Current published rates. |
Not all HFCs and SCBs publish rates publicly. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum residential mortgage term |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
30 |
|
|
Is there a regulatory cap on residential mortgage interest rates?
|
Reserve Bank of India |
National |
2022 |
|
|
No, but generally there is a stipulation for benchmarking against a published rate. |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Information publicly available. |
Matches definition. |
Government source. |
Data matches the aggregate. |
Most updated information. |
Timely and full match to the indicator definition from credible source. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Is there a regulatory cap on residential mortgage interest rates? |
National |
Reserve Bank of IndiaLink to source |
2022-01-13 |
2022 |
No, but generally there is a stipulation for benchmarking against a published rate. |
|
|
% of the adult population that borrowed formally in the last 12 months/last 12-month period where data is available.
|
Reserve Bank of India |
National |
2014 |
|
|
6% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Information publicly available. |
Matches definition. |
Government source. |
Data matches the aggregate. |
Data for 2014. |
Data for 2014. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
% of the adult population that borrowed formally in the last 12 months/last 12-month period where data is available. |
National |
Reserve Bank of IndiaLink to source |
2022-01-13 |
2014 |
6% |
|
|
Does a foreclosure policy exist?
|
Ministry of Corporate Affairs, Government of India |
National |
2022 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Information publicly available. |
Matches definition. |
Government source. |
Data matches the aggregate. |
Most updated information. |
Timely and full match to the indicator definition from credible source. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Name of foreclosure policy |
National |
Ministry of Corporate Affairs, Government of India.Link to source |
2022-01-13 |
2022 |
The Insolvency and Bankruptcy code, 2016. |
|
|
Number of residential mortgage providers
|
National Housing Bank and Reserve Bank of India |
Karnataka |
2021 |
|
|
106 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers |
Karnataka |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
106 |
|
|
Number of residential mortgage providers |
National Housing Bank and Reserve Bank of India |
Maharashtra |
2021 |
|
|
133 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers |
Maharashtra |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
133 |
|
|
Number of residential mortgage providers |
National Housing Bank and Reserve Bank of India |
Gujarat |
2021 |
|
|
103 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers |
Gujarat |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
103 |
|
|
Number of residential mortgage providers |
National Housing Bank and Reserve Bank of India |
Odisha |
2021 |
|
|
66 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers |
Odisha |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
66 |
|
|
Number of residential mortgage providers |
National Housing Bank and Reserve Bank of India |
Delhi - State |
2021 |
|
|
106 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers |
Delhi - State |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
106 |
|
|
Number of residential mortgage providers |
National Housing Bank and Reserve Bank of India |
National |
2021 |
|
|
191 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
191 |
|
|
Number of residential mortgage providers that serve the bottom-end of the market
|
National Housing Bank and Reserve Bank of India |
Karnataka |
2021 |
|
|
106 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers that serve the bottom-end of the market |
Karnataka |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
106 |
|
|
Number of residential mortgage providers that serve the bottom-end of the market |
National Housing Bank and Reserve Bank of India |
Maharashtra |
2021 |
|
|
133 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers that serve the bottom-end of the market |
Maharashtra |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
133 |
|
|
Number of residential mortgage providers that serve the bottom-end of the market |
National Housing Bank and Reserve Bank of India |
Gujarat |
2021 |
|
|
103 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers that serve the bottom-end of the market |
Gujarat |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
103 |
|
|
Number of residential mortgage providers that serve the bottom-end of the market |
National Housing Bank and Reserve Bank of India |
Odisha |
2021 |
|
|
66 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers that serve the bottom-end of the market |
Odisha |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
66 |
|
|
Number of residential mortgage providers that serve the bottom-end of the market |
National Housing Bank and Reserve Bank of India |
Delhi - State |
2021 |
|
|
106 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers that serve the bottom-end of the market |
Delhi - State |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
106 |
|
|
Number of residential mortgage providers that serve the bottom-end of the market |
National Housing Bank and Reserve Bank of India |
National |
2021 |
|
|
191 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Published. |
Matches definition. |
SCBs and HFCs taken from government source and reviewed. |
Cannot be established if all HFCs and SCBs publish locations. |
Current published locations. |
Not all HFCs and SCBs may list locations on their websites. |
Information generally available across websites but needs collation and comparison. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgage providers that serve the bottom-end of the market |
National |
National Housing Bank and Reserve Bank of IndiaLink to source |
2021-10-21 |
2021 |
191 |
|
|
Number of residential mortgages issued per annum
|
National Housing Bank |
National |
2020 |
|
|
500,000 issued in category of 'Individual Housing loan slab of upto Rs. 25,00,000'. 400,000 issued in category of 'Individual Housing loan slab >Rs. 25,00,000'. |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Public document, |
matches definition. |
Government source. |
Covers HFCs and SCBs. |
Collected in the last 2 years. |
Timely and full match to the indicator definition from credible source. |
Publically available, small calculation required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages issued per annum |
National |
National Housing BankLink to source |
2021-10-05 |
2020 |
500000 issued in category of 'Individual Housing loan slab of upto Rs. 25,00,000'. 400000 issued in category of 'Individual Housing loan slab >Rs. 25,00,000'. |
|
|
Number of residential mortgages issued per annum |
Reserve Bank of India |
Karnataka |
2020 |
|
|
23,374 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages issued per annum |
Karnataka |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
23,374 |
|
|
Number of residential mortgages issued per annum |
Reserve Bank of India |
Maharashtra |
2020 |
|
|
97,419 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages issued per annum |
Maharashtra |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
97,419 |
|
|
Number of residential mortgages issued per annum |
Reserve Bank of India |
Gujarat |
2020 |
|
|
47,593 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages issued per annum |
Gujarat |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
47,593 |
|
|
Number of residential mortgages issued per annum |
Reserve Bank of India |
Odisha |
2020 |
|
|
1,079 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages issued per annum |
Odisha |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
1,079 |
|
|
Number of residential mortgages issued per annum |
Reserve Bank of India |
Delhi - State |
2020 |
|
|
1,449 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages issued per annum |
Delhi - State |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
1,449 |
|
|
Number of residential mortgages or formal loans provided to the bottom-end of the market
|
Reserve Bank of India |
Karnataka |
2020 |
|
|
328,359 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Borrowers at the bottom end of the market are defined as 'small borrowers', as per RBI these are borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). Additionally, borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Karnataka |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
328,359 |
|
|
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Reserve Bank of India |
Maharashtra |
2020 |
|
|
3,535,559 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Borrowers at the bottom end of the market are defined as 'small borrowers', as per RBI these are borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). Additionally, borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Maharashtra |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
3,535,559 |
|
|
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Reserve Bank of India |
Gujarat |
2020 |
|
|
644,477 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Borrowers at the bottom end of the market are defined as 'small borrowers', as per RBI these are borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). Additionally, borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Gujarat |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
644,477 |
|
|
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Reserve Bank of India |
Odisha |
2020 |
|
|
773,917 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Borrowers at the bottom end of the market are defined as 'small borrowers', as per RBI these are borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). Additionally, borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Odisha |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
773,917 |
|
|
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Reserve Bank of India |
Delhi - State |
2020 |
|
|
40,127 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Borrowers at the bottom end of the market are defined as 'small borrowers', as per RBI these are borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). Additionally, borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Delhi - State |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
40,127 |
|
|
Number of residential mortgages or formal loans provided to the bottom-end of the market |
Reserve Bank of India |
National |
2020 |
|
|
16,371,213 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Borrowers at the bottom end of the market are defined as 'small borrowers', as per RBI these are borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). Additionally, borrowers defined as an account having a credit limit of up to â¹2,00,000. |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages or formal loans provided to the bottom-end of the market |
National |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
16,371,213 |
|
|
Number of residential mortgages outstanding
|
Reserve Bank of India |
Karnataka |
2020 |
|
|
750,908 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages outstanding |
Karnataka |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
750,908 |
|
|
Number of residential mortgages outstanding |
Reserve Bank of India |
Maharashtra |
2020 |
|
|
1,596,140 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages outstanding |
Maharashtra |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
1,596,140 |
|
|
Number of residential mortgages outstanding |
Reserve Bank of India |
Gujarat |
2020 |
|
|
898,996 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages outstanding |
Gujarat |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
898,996 |
|
|
Number of residential mortgages outstanding |
Reserve Bank of India |
Odisha |
2020 |
|
|
144,296 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages outstanding |
Odisha |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
144,296 |
|
|
Number of residential mortgages outstanding |
Reserve Bank of India |
Delhi - State |
2020 |
|
|
220,333 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages outstanding |
Delhi - State |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
220,333 |
|
|
Number of residential mortgages outstanding |
Reserve Bank of India |
National |
2020 |
|
|
9,817,180 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Publicly available. |
Matches definition. |
Government source. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Data from within last 2 years. |
Data includes only market share of banks regulated by RBI in individual housing loans (67%), missing out those that of housing finance companies regulated by NHB (33%). |
Information is publicly available. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential mortgages outstanding |
National |
Reserve Bank of IndiaLink to source |
2021-10-10 |
2020 |
9,817,180 |
|
|
Housing rent as a share of household expenditure
|
NSSO 76th Round |
Bottom 40 |
2018 |
|
|
17% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Matches the definition perfectly |
The data is collected by a credible govt. organization |
The sample size is representative of the aggregate |
Data was collected 4 years ago |
Data was collected 4 years ago |
Raw data is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Average housing rent paid per month in local currency units |
Bottom 40 |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
1,163 |
Average household expenditure |
Bottom 40 |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
6,675 |
|
|
% of households that can afford cheapest partner dwelling
|
Multiple sources |
Bangalore |
2019 |
|
|
78.12% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined from all sources and data is from the partner aggregate. |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
All element data is representative of the aggregate. |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income and data was collected 4 years ago. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds |
Bangalore |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
Populated - see Annual household income distribution thresholds Indicator |
% of households that can afford cheapest partner dwelling |
Bangalore |
Multiple sources |
2022-12-01 |
2019 |
78.12% |
|
|
% of households that can afford cheapest partner dwelling |
Multiple sources |
Ahmedabad |
2019 |
|
|
90.70% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined from all sources and data is from the partner aggregate. |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
All element data is representative of the aggregate. |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income and data was collected 4 years ago. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds |
Ahmedabad |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
Populated - see Annual household income distribution thresholds Indicator |
% of households that can afford cheapest partner dwelling |
Ahmedabad |
Multiple sources |
2022-12-01 |
2019 |
90.70% |
|
|
% of households that can afford the cheapest, newly built dwelling by a formal developer or contractor
|
Multiple sources |
Bangalore |
2019 |
|
|
78.12% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published and information from industry experts is limited. |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Data on cheapest dwelling price from real estate websites is limited to their properties being advertised and information from industry experts is not necessarily comprehensive. |
NSSO data was collected 4 years ago |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published and information from industry experts is limited. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds |
Bangalore |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
Populated - see Annual household income distribution thresholds Indicator |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Bangalore |
Real estate websites and industry experts |
2022-01-07 |
2022 |
1,300,000 |
|
|
% of households that can afford the cheapest, newly built dwelling by a formal developer or contractor |
Multiple sources |
Mumbai |
2019 |
|
|
94.80% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published and information from industry experts is limited. |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Data on cheapest dwelling price from real estate websites is limited to their properties being advertised and information from industry experts is not necessarily comprehensive and covers the ULB (main city) and the Mumbai suburban area.The latter is also true for the NSSO data. |
NSSO data was collected 4 years ago |
Data on cheapest dwelling price from real estate websites is limited to their properties being advertised and information from industry experts is not necessarily comprehensive and covers the ULB (main city) and the Mumbai suburban area.The latter is also true for the NSSO data. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds |
Mumbai |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
Populated - see Annual household income distribution thresholds Indicator |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Mumbai |
Real estate websites and local developers |
2022-01-10 |
2022 |
630,000 |
|
|
% of households that can afford the cheapest, newly built dwelling by a formal developer or contractor |
Multiple sources |
Ahmedabad |
2019 |
|
|
100.00% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published and information from industry experts is limited. |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Data on cheapest dwelling price from real estate websites is limited to their properties being advertised and information from industry experts is not necessarily comprehensive. |
NSSO data was collected 4 years ago |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published and information from industry experts is limited. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds |
Ahmedabad |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
Populated - see Annual household income distribution thresholds Indicator |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Ahmedabad |
Real estate websites and local developers |
2022-01-07 |
2022 |
160,000 |
|
|
% of households that can afford the cheapest, newly built dwelling by a formal developer or contractor |
Multiple sources |
Bhubaneswar |
2019 |
|
|
95.28% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published. |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Data on cheapest dwelling price from real estate websites is limited to their properties being advertised and information from industry experts is not necessarily comprehensive. For NSSO, the aggregation considered is for Khorda Urban district of which Bhubaneswar is a part. |
NSSO data was collected 4 years ago |
Data on cheapest dwelling price from real estate websites is limited to their properties being advertised and information from industry experts is not necessarily comprehensive. For NSSO, the aggregation considered is for Khorda Urban district of which Bhubaneswar is a part. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds |
Bhubaneswar |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
Populated - see Annual household income distribution thresholds Indicator |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Bhubaneswar |
Real estate websites and local developers |
2022-01-10 |
2022 |
531,000 |
|
|
% of households that can afford the cheapest, newly built dwelling by a formal developer or contractor |
Multiple sources |
Delhi |
2019 |
|
|
98.06% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published and information from industry experts is limited. |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Data on cheapest dwelling price from real estate websites is limited to their properties being advertised and information from industry experts is not necessarily comprehensive. |
NSSO data was collected 4 years ago |
Data collection methodology is well defined from most sources but data from real estate websites is dynamic and is not systematically published and information from industry experts is limited. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds |
Delhi |
NSSO 76th Round Link to source |
2021-10-30 |
2018 |
Populated - see Annual household income distribution thresholds Indicator |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Delhi |
Real estate websites and local developers |
2022-01-07 |
2022 |
600,000 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms
|
Multiple sources |
Bangalore |
2019 |
|
|
1,342,222.22 IN₹$18,261.53 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
162,000 IN₹$2,204.08 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Multiple sources |
Mumbai |
2019 |
|
|
1,522,222 IN₹$20,710.50 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
180,000 IN₹$2,448.98 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Multiple sources |
Ahmedabad |
2019 |
|
|
1,555,556 IN₹$21,164.03 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
180,000 IN₹$2,448.98 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Multiple sources |
Bhubaneswar |
2019 |
|
|
944,444 IN₹$12,849.58 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part. |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,000 IN₹$1,632.65 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Multiple sources |
Delhi |
2019 |
|
|
1,444,444 IN₹$19,652.30 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
168,000 IN₹$2,285.71 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Multiple sources |
Urban |
2019 |
|
|
1,055,556 IN₹$14,361.31 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
Definition matches except that NSSO uses household expenditure as a proxy for income. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding and data from real estate websites requires monitoring and collation. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,960 IN₹$1,645.71 |
|
|
Maximum dwelling rent affordable to B40 households
|
Multiple sources |
Bangalore |
2019 |
|
|
3,941.70 IN₹$53.63 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. Additionally, some calculations are required from the elements to make the indicator values. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Bangalore |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
162,000 IN₹$2,204.08 |
Rent to income ratio |
Bangalore |
Reserve Bank of IndiaLink to source |
2021-10-05 |
2019 |
40 IN₹$0.54 |
|
|
Maximum dwelling rent affordable to B40 households |
Multiple sources |
Mumbai |
2019 |
|
|
4,494 IN₹$61.14 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
Includes government data and data from recognized sources. |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area |
NSSO data was collected 4 years ago |
The aggregation for Mumbai in the data covers the ULB (main city) and the Mumbai suburban area, NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. Additionally, some calculations are required from the elements to make the indicator values. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Mumbai |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
180,000 IN₹$2,448.98 |
Rent to income ratio |
Mumbai |
Reserve Bank of IndiaLink to source |
2021-10-05 |
2019 |
40 IN₹$0.54 |
|
|
Maximum dwelling rent affordable to B40 households |
Multiple sources |
Ahmedabad |
2019 |
|
|
4,553.30 IN₹$61.95 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. Additionally, some calculations are required from the elements to make the indicator values. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Ahmedabad |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
180,000 IN₹$2,448.98 |
Rent to income ratio |
Ahmedabad |
Reserve Bank of IndiaLink to source |
2021-10-05 |
2019 |
40 IN₹$0.54 |
|
|
Maximum dwelling rent affordable to B40 households |
Multiple sources |
Bhubaneswar |
2019 |
|
|
2,730 IN₹$37.14 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
Includes government data and data from recognized sources. |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part. |
NSSO data was collected 4 years ago |
The aggregation considered here is for Khorda Urban district of which Bhubaneswar is a part, NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. Additionally, some calculations are required from the elements to make the indicator values. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Bhubaneswar |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,000 IN₹$1,632.65 |
Rent to income ratio |
Bhubaneswar |
Reserve Bank of IndiaLink to source |
2021-10-05 |
2019 |
40 IN₹$0.54 |
|
|
Maximum dwelling rent affordable to B40 households |
Multiple sources |
Delhi |
2019 |
|
|
4,300 IN₹$58.50 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. Additionally, some calculations are required from the elements to make the indicator values. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Delhi |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
168,000 IN₹$2,285.71 |
Rent to income ratio |
Delhi |
Reserve Bank of IndiaLink to source |
2021-10-05 |
2019 |
40 IN₹$0.54 |
|
|
Maximum dwelling rent affordable to B40 households |
Multiple sources |
Urban |
2019 |
|
|
3,098 IN₹$42.15 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data collection methodology is well defined and documented |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
Includes government data and data from recognized sources. |
Matches the aggregate. |
NSSO data was collected 4 years ago |
NSSO uses household expenditure as a proxy for income and maximum instalment to income ratio for mortgages is used as a proxy for affordability. |
For NSSO, the information is publicly available but requires special expertise to manipulate/requires application of weights/multiple data sheets/recoding. Additionally, some calculations are required from the elements to make the indicator values. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Urban |
NSSO 76th Round (2018-19)Link to source |
2021-09-24 |
2018 |
120,960 IN₹$1,645.71 |
Rent to income ratio |
Urban |
Reserve Bank of IndiaLink to source |
2021-10-05 |
2019 |
40 IN₹$0.54 |
|