|
Price of the cheapest, newly built dwelling by a formal developer or contractor
|
Partners |
Urban |
2021 |
|
|
2,500,000 PKR$14,305.33 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Indicator fully in line with definition |
Findings estimated with input from key experts but not confirmable |
Sample size only reflects certain cities |
Data collected in the previous 2 calendar years |
Data only covers a small number of cities and relies on few key experts |
Data value acquired in person/ specific request |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Partners |
Partners |
2021 |
|
|
2,500,000 PKR$14,305.33 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Indicator fully in line with definition |
Findings estimated with input from key experts but not confirmable |
Sample size is fully representative for the required aggregate |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on few key experts |
Data value acquired in person/ specific request |
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 |
Partners |
AMC (Developer) |
2021-10-11 |
2021 |
2,500,000 PKR$14,305.33 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Modulus Tech (Developer) |
Karachi |
2021 |
|
|
3,500,000 PKR$20,027.47 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Indicator fully in line with definition |
Findings estimated with input from key experts but not confirmable |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on one expert |
Data value acquired in person/ specific request |
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 |
Karachi |
Modulus Tech (Developer) |
2021-07-16 |
2021 |
3,500,000 PKR$20,027.47 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
EPL (Developer) |
Lahore |
2021 |
|
|
2,500,000 PKR$14,305.33 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Indicator fully in line with definition |
Findings estimated with input from key experts but not confirmable |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on one expert |
Data value acquired in person/ specific request |
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 |
Lahore |
EPL (Developer) |
2021-07-05 |
2021 |
2,500,000 PKR$14,305.33 |
|
|
Price of the cheapest, newly built dwelling by a formal developer or contractor |
AMC (Developer) |
Peshawar |
2021 |
|
|
2,500,000 PKR$14,305.33 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Indicator fully in line with definition |
Findings estimated with input from key experts but not confirmable |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on one expert |
Data value acquired in person/ specific request |
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 |
Peshawar |
AMC (Developer) |
2021-10-11 |
2021 |
2,500,000 PKR$14,305.33 |
|
|
Average inflation for dwellings over 5 years
|
Zameen.com |
National |
2021 |
|
|
7.82% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Data value consists of outliers. |
Indicator fully in line with definition |
Findings based on opinions of sector participants but not confirmable. Data may be skewed as value consists of outliers |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data is outdated and lacks information on data collection methodology. Source verifiability remains a concern. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
National |
Zameen.comLink to source |
2021-09-26 |
2021 |
23.40% |
Dwelling inflation year 2 |
National |
Zameen.comLink to source |
2021-09-26 |
2020 |
4.93% |
Dwelling inflation year 3 |
National |
Zameen.comLink to source |
2021-09-26 |
2019 |
4.51% |
Dwelling inflation year 4 |
National |
Zameen.comLink to source |
2021-09-26 |
2018 |
3.86% |
Dwelling inflation year 5 |
National |
Zameen.comLink to source |
2021-09-26 |
2017 |
2.42% |
|
|
Average inflation for dwellings over 5 years |
Zameen.com |
Karachi |
2021 |
|
|
1.91% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Data value consists of outliers. |
Indicator fully in line with definition |
Findings based on opinions of sector participants but not confirmable. Data may be skewed as value consists of outliers |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on data collection methodology. Source verifiability remains a concern. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Karachi |
Zameen.comLink to source |
2021-09-26 |
2021 |
1.33% |
Dwelling inflation year 2 |
Karachi |
Zameen.comLink to source |
2021-09-26 |
2020 |
1.63% |
Dwelling inflation year 3 |
Karachi |
Zameen.comLink to source |
2021-09-26 |
2019 |
-3.23% |
Dwelling inflation year 4 |
Karachi |
Zameen.comLink to source |
2021-09-26 |
2018 |
-4.78% |
Dwelling inflation year 5 |
Karachi |
Zameen.comLink to source |
2021-09-26 |
2017 |
14.58% |
|
|
Average inflation for dwellings over 5 years |
Zameen.com |
Lahore |
2021 |
|
|
7.78% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Data value consists of outliers. |
Indicator fully in line with definition |
Findings based on opinions of sector participants but not confirmable. Data may be skewed as value consists of outliers |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on data collection methodology. Source verifiability remains a concern. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Lahore |
Zameen.comLink to source |
2021-09-26 |
2021 |
25.66% |
Dwelling inflation year 2 |
Lahore |
Zameen.comLink to source |
2021-09-26 |
2020 |
3.50% |
Dwelling inflation year 3 |
Lahore |
Zameen.comLink to source |
2021-09-26 |
2019 |
4.04% |
Dwelling inflation year 4 |
Lahore |
Zameen.comLink to source |
2021-09-26 |
2018 |
3.45% |
Dwelling inflation year 5 |
Lahore |
Zameen.comLink to source |
2021-09-26 |
2017 |
2.25% |
|
|
Average inflation for dwellings over 5 years |
Zameen.com |
Islamabad |
2021 |
|
|
8.25% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Data value consists of outliers. |
Indicator fully in line with definition |
Findings based on opinions of sector participants but not confirmable. Data may be skewed as value consists of outliers |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on data collection methodology. Source verifiability remains a concern. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Dwelling inflation year 1 |
Islamabad |
Zameen.comLink to source |
2021-09-26 |
2021 |
25.82% |
Dwelling inflation year 2 |
Islamabad |
Zameen.comLink to source |
2021-09-26 |
2020 |
7.79% |
Dwelling inflation year 3 |
Islamabad |
Zameen.comLink to source |
2021-09-26 |
2019 |
5.29% |
Dwelling inflation year 4 |
Islamabad |
Zameen.comLink to source |
2021-09-26 |
2018 |
6.16% |
Dwelling inflation year 5 |
Islamabad |
Zameen.comLink to source |
2021-09-26 |
2017 |
-3.81% |
|
|
% Of households that own their dwelling
|
Population and Housing Census |
National |
2018 |
|
|
82.14% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
National |
Population and Housing CensusLink to source |
2021-08-24 |
2017 |
26,215,418 |
Number of households |
National |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
31,915,884 |
|
|
% Of households that own their dwelling |
Population and Housing Census |
Urban |
2018 |
|
|
70.87% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Urban |
The DHS Program, Population and Housing CensusLink to source |
2021-09-26 |
2017 |
8,548,797 |
Number of households |
Urban |
Population and Housing CensusLink to source |
2021-08-11 |
2017 |
12,203,750 |
|
|
% Of households that own their dwelling |
Population and Housing Census |
Karachi |
2017 |
|
|
60.09% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Karachi |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
1,641,507 |
Number of households |
Karachi |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
2,730,368 |
|
|
% Of households that own their dwelling |
Population and Housing Census |
Lahore |
2017 |
|
|
66.41% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Lahore |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
1,158,614 |
Number of households |
Lahore |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
1,744,755 |
|
|
% Of households that own their dwelling |
Population and Housing Census |
Peshawar |
2017 |
|
|
66.55% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Peshawar |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
327,533 |
Number of households |
Peshawar |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
492,194 |
|
|
% Of households that own their dwelling |
Population and Housing Census |
Quetta |
2017 |
|
|
65.79% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Quetta |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
178,496 |
Number of households |
Quetta |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
271,328 |
|
|
% Of households that own their dwelling |
Population and Housing Census |
Islamabad |
2017 |
|
|
50.23% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that own their dwelling |
Islamabad |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
166,837 |
Number of households |
Islamabad |
Population and Housing CensusLink to source |
2021-08-11 |
2017 |
332,145 |
|
|
% Of households with female or joint ownership of a dwelling
|
The DHS Program |
National |
2018 |
|
|
2.98% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Value is related to indicator but an error exists between indicator definition and indicator name |
Data is calculated by a reputable source and aligns with data from the Pakistan Bureau of Statistics |
DHS data is not available for city level aggregations and sample size is small |
Data collected and published within the last 5 years |
Data difficult to access. Data code not available for download. Existing data obtained from tables and reports. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households |
National |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
31,915,884 |
|
|
% Of households with female or joint ownership of a dwelling |
The DHS Program |
Urban |
2018 |
|
|
4.10% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Value is related to indicator but an error exists between indicator definition and indicator name |
Data is calculated by a reputable source and aligns with data from the Pakistan Bureau of Statistics |
DHS data is not available for city level aggregations and sample size is small |
Data collected and published within the last 5 years |
Data difficult to access. Data code not available for download. Existing data obtained from tables and reports. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households |
Urban |
Population and Housing CensusLink to source |
2021-08-11 |
2017 |
12,203,750 |
|
|
% Of households with female or joint ownership of a dwelling |
The DHS Program |
Bottom 40 |
2018 |
|
|
1.80% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Value is related to indicator but an error exists between indicator definition and indicator name |
Data is calculated by a reputable source and aligns with data from the Pakistan Bureau of Statistics |
DHS data is not available for city level aggregations and sample size is small |
Data collected and published within the last 5 years |
Data difficult to access. Data code not available for download. Existing data obtained from tables and reports. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
% Of households with female ownership of a dwelling
|
Population and Housing Census |
National |
2017 |
|
|
5.73% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
National |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
1,831,198 |
Number of households |
National |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
31,915,884 |
|
|
% Of households with female ownership of a dwelling |
Population and Housing Census |
Urban |
2017 |
|
|
6.49% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Urban |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
792,319 |
Number of households |
Urban |
Population and Housing CensusLink to source |
2021-08-11 |
2017 |
12,203,750 |
|
|
% Of households with female ownership of a dwelling |
Population and Housing Census |
Karachi |
2017 |
|
|
9.16% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Karachi |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
250,138 |
Number of households |
Karachi |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
2,730,368 |
|
|
% Of households with female ownership of a dwelling |
Population and Housing Census |
Lahore |
2017 |
|
|
6.96% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Lahore |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
121,551 |
Number of households |
Lahore |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
1,744,755 |
|
|
% Of households with female ownership of a dwelling |
Population and Housing Census |
Peshawar |
2017 |
|
|
3.23% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Peshawar |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
15,929 |
Number of households |
Peshawar |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
492,194 |
|
|
% Of households with female ownership of a dwelling |
Population and Housing Census |
Quetta |
2017 |
|
|
2.18% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Quetta |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
5,918 |
Number of households |
Quetta |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
271,328 |
|
|
% Of households with female ownership of a dwelling |
Population and Housing Census |
Islamabad |
2017 |
|
|
4.82% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households with female ownership of a dwelling |
Islamabad |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
16,016 |
Number of households |
Islamabad |
Population and Housing CensusLink to source |
2021-08-11 |
2017 |
332,145 |
|
|
World Bank DBI equal access to property rights index ranking: Asia
|
World Bank Doing Business Indicator |
National |
2020 |
|
|
Tied 1st with 45 other countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Asia |
National |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 1st with 45 other countries and cities out of 48 |
|
|
World Bank DBI equal access to property rights index ranking: Asia |
World Bank Doing Business Indicator |
Karachi |
2020 |
|
|
Tied 1st with 45 other countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Asia |
Karachi |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 1st with 45 other countries and cities out of 48 |
|
|
World Bank DBI equal access to property rights index ranking: Asia |
World Bank Doing Business Indicator |
Lahore |
2020 |
|
|
Tied 1st with 45 other countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Asia |
Lahore |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 1st with 45 other countries and cities out of 48 |
|
|
World Bank DBI equal access to property rights index ranking: Global
|
World Bank Doing Business Indicator |
National |
2020 |
|
|
Tied 1st with 172 other countries out of 190 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Global |
National |
World Bank Doing Business Indicator Link to source |
2021-08-02 |
2020 |
Tied 1st with 172 other countries and cities out of 190 |
|
|
World Bank DBI equal access to property rights index ranking: Global |
World Bank Doing Business Indicator |
Karachi |
2020 |
|
|
Tied 1st with 172 other countries out of 190 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Global |
Karachi |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 1st with 172 other countries and cities out of 190 |
|
|
World Bank DBI equal access to property rights index ranking: Global |
World Bank Doing Business Indicator |
Lahore |
2020 |
|
|
Tied 1st with 172 other countries out of 190 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI equal access to property rights index ranking: Global |
Lahore |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 1st with 172 other countries and cities out of 190 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor
|
Modulus Tech (Developer) |
Karachi |
2021 |
|
|
15,000 PKR$85.83 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Data value based on expert input |
Findings estimated with input from key experts but not confirmable |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on one expert |
Data value acquired in person/ specific request |
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 |
Karachi |
Modulus Tech (Developer) |
2021-07-16 |
2021 |
15,000 PKR$85.83 |
Size of the cheapest, newly built dwelling by a formal developer / contractor in an urban area in square meters |
Karachi |
Modulus Tech (Developer) |
2021-07-16 |
2021 |
50 PKR$0.29 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor |
EPL (Developer) |
Lahore |
2021 |
|
|
9,000 PKR$51.50 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Data value based on expert input |
Findings estimated with input from key experts but not confirmable |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on one expert |
Data value acquired in person/ specific request |
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 |
Lahore |
EPL (Developer) |
2021-07-05 |
2021 |
9,000 PKR$51.50 |
Size of the cheapest, newly built dwelling by a formal developer / contractor in an urban area in square meters |
Lahore |
EPL (Developer) |
2021-07-05 |
2021 |
46.45 PKR$0.27 |
|
|
Typical rental price for cheapest, newly built dwelling by a formal developer or contractor |
AMC (Developer) |
Peshawar |
2021 |
|
|
7,000 PKR$40.05 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Data value based on expert input |
Findings estimated with input from key experts but not confirmable |
Sample size is not fully representative and excludes key aggregations |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on one expert |
Data value acquired in person/ specific request |
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 |
Peshawar |
AMC (Developer) |
2021-10-11 |
2021 |
7,000 PKR$40.05 |
|
|
% Of households that rent their dwelling
|
Population and Housing Census |
National |
2017 |
|
|
11.53% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
National |
Population and Housing CensusLink to source |
2021-08-24 |
2017 |
3,681,007 |
Number of households |
National |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
31,915,884 |
|
|
% Of households that rent their dwelling |
Population and Housing Census |
Urban |
2017 |
|
|
24.02% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Urban |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
2,931,419 |
Number of households |
Urban |
Population and Housing CensusLink to source |
2021-08-11 |
2017 |
12,203,750 |
|
|
% Of households that rent their dwelling |
Population and Housing Census |
Karachi |
2017 |
|
|
34.66% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Karachi |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
946,508 |
Number of households |
Karachi |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
2,730,368 |
|
|
% Of households that rent their dwelling |
Population and Housing Census |
Lahore |
2017 |
|
|
28.15% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Lahore |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
491,303 |
Number of households |
Lahore |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
1,744,755 |
|
|
% Of households that rent their dwelling |
Population and Housing Census |
Peshawar |
2017 |
|
|
29.01% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Peshawar |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
142,791 |
Number of households |
Peshawar |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
492,194 |
|
|
% Of households that rent their dwelling |
Population and Housing Census |
Quetta |
2017 |
|
|
29.92% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Quetta |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
81,200 |
Number of households |
Quetta |
Population and Housing CensusLink to source |
2021-08-23 |
2017 |
271,328 |
|
|
% Of households that rent their dwelling |
Population and Housing Census |
Islamabad |
2017 |
|
|
43.30% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data is provided by regulatory authority. No indication of when data will be updated. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of households that rent their dwelling |
Islamabad |
Population and Housing CensusLink to source |
2021-09-26 |
2017 |
143,875 |
Number of households |
Islamabad |
Population and Housing CensusLink to source |
2021-08-11 |
2017 |
332,145 |
|
|
Number of end-user finance loans disbursed or mobilized for purchases of dwellings
|
AMC (Developer) |
Partners |
2021 |
|
|
259 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
No information available on methodology |
Indicator fully in line with definition |
Data value in line with required aggregation and sources |
Sample size is fully representative for the required aggregate |
Data collected in the previous 2 calendar years |
Data lacks information on methodology and relies on one expert |
Data value acquired in person/ specific request |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of end-user finance loans disbursed or mobilised for purchases of dwellings |
Partners |
AMC (Developer) |
2021-10-11 |
2021 |
259 |
|
|
Does government or industry publish any data on land prices in the main urban centre?
|
Federal Board of Revenue |
Karachi |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data methodology remains unavailable. However, data is provided by a regulatory authority. |
Data available in pdf format/ government notification |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on land prices in the main urban centre? |
Karachi |
Federal Board of RevenueLink to source |
2021-08-12 |
2021 |
Yes |
|
|
Does government or industry publish any data on land prices in the main urban centre? |
Federal Board of Revenue |
Lahore |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data methodology remains unavailable. However, data is provided by a regulatory authority. |
Data available in pdf format/ government notification |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on land prices in the main urban centre? |
Lahore |
Federal Board of RevenueLink to source |
2021-08-13 |
2021 |
Yes |
|
|
Does government or industry publish any data on land prices in the main urban centre? |
Federal Board of Revenue |
Peshawar |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data methodology remains unavailable. However, data is provided by a regulatory authority. |
Data available in pdf format/ government notification |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on land prices in the main urban centre? |
Peshawar |
Federal Board of RevenueLink to source |
2021-08-14 |
2021 |
Yes |
|
|
Does government or industry publish any data on land prices in the main urban centre? |
Federal Board of Revenue |
Quetta |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data methodology remains unavailable. However, data is provided by a regulatory authority. |
Data available in pdf format/ government notification |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on land prices in the main urban centre? |
Quetta |
Federal Board of RevenueLink to source |
2021-08-15 |
2021 |
Yes |
|
|
Does government or industry publish any data on land prices in the main urban centre? |
Federal Board of Revenue |
Islamabad |
2021 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data methodology remains unavailable. However, data is provided by a regulatory authority. |
Data available in pdf format/ government notification |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does government or industry publish any data on land prices in the main urban centre? |
Islamabad |
Federal Board of RevenueLink to source |
2021-08-16 |
2021 |
Yes |
|
|
Number of new residential transfers
|
Punjab Land Records Authority |
Lahore |
2021 |
|
|
450,322 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Indicator value methodology is not available |
Data is related to indicator but it does not align with definition. |
Data source is a government authority/ government regulated institution |
Data values are not available for key aggregates |
Data collected in the previous 2 calendar years |
Data provided by regulatory authority. Lack of information on data methodology. Measurement partially in line with definition. |
Data is difficult to find and access on online portal |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of new residential transfers (year 1) |
Lahore |
Punjab Land Records AuthorityLink to source |
2021-09-23 |
2020 |
37,367 |
Number of new residential transfers (year 2) |
Lahore |
Punjab Land Records AuthorityLink to source |
2021-09-23 |
2019 |
68,474 |
Number of new residential transfers (year 3) |
Lahore |
Punjab Land Records AuthorityLink to source |
2021-09-23 |
2018 |
81,479 |
Number of new residential transfers (year 4) |
Lahore |
Punjab Land Records AuthorityLink to source |
2021-09-23 |
2017 |
136,789 |
Number of new residential transfers (year 5) |
Lahore |
Punjab Land Records AuthorityLink to source |
2021-09-23 |
2016 |
126,213 |
|
|
Number of residential transfers financed with a mortgage
|
Punjab Land Records Authority |
Lahore |
2021 |
|
|
270 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Indicator value methodology is not available |
Value does not align with definition but is related to indicator |
Data source is a government authority/ government regulated institution |
Data value is only available for one aggregate |
Data collected in the previous 2 calendar years |
Data provided by regulatory authority. Lack of information on data methodology. Measurement partially in line with definition. |
Data available on online portal |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of residential transfers financed with a mortgage |
Lahore |
Punjab Land Records AuthorityLink to source |
2021-10-11 |
2021 |
270 |
|
|
World Bank DBI land dispute resolution index ranking: Asia
|
World Bank Doing Business Indicator |
National |
2020 |
|
|
Tied 39 with 4 other countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Asia |
National |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 39th with 4 other countries and cities out of 48 |
|
|
World Bank DBI land dispute resolution index ranking: Asia |
World Bank Doing Business Indicator |
Karachi |
2020 |
|
|
Tied 39 with 4 other countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Asia |
Karachi |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 39th with 4 other countries and cities out of 48 |
|
|
World Bank DBI land dispute resolution index ranking: Asia |
World Bank Doing Business Indicator |
Lahore |
2020 |
|
|
Tied 39 with 4 other countries out of 48 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Asia |
Lahore |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 39th with 4 other countries and cities out of 48 |
|
|
World Bank DBI land dispute resolution index ranking: Global
|
World Bank Doing Business Indicator |
National |
2020 |
|
|
Tied 149 with 17 other countries out of 190 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Global |
National |
World Bank Doing Business Indicator Link to source |
2021-08-09 |
2020 |
Tied 149th with 17 other countries and cities out of 190 |
|
|
World Bank DBI land dispute resolution index ranking: Global |
World Bank Doing Business Indicator |
Karachi |
2020 |
|
|
Tied 149 with 17 other countries out of 190 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Global |
Karachi |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 149th with 17 other countries and cities out of 190 |
|
|
World Bank DBI land dispute resolution index ranking: Global |
World Bank Doing Business Indicator |
Lahore |
2020 |
|
|
Tied 149 with 17 other countries out of 190 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data irregularities have been reported pertaining to Doing Business Report. Report has been discontinued. |
Data is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated. Data methodology not entirely reliable. |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
World Bank DBI land dispute resolution index ranking: Global |
Lahore |
World Bank Doing Business Indicator Link to source |
2021-08-11 |
2020 |
Tied 149th with 17 other countries and cities out of 190 |
|
|
Does an operational mortgage refinancing company exist?
|
Pakistan Mortgage Refinance Company (PMRC) |
National |
2021 |
|
|
Pakistan Mortgage Refinance Company (PMRC) |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data is provided by regulatory authority |
PMRC is a subsidiary of the State Bank of Pakistan |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does an operational mortgage refinancing company exist? |
National |
Pakistan Mortgage Refinance Company (PMRC)Link to source |
2021-08-09 |
2021 |
Pakistan Mortgage Refinance Company (PMRC) |
|
|
Value of formal housing finance issued per annum
|
State Bank of Pakistan - Housing Finance Data Review |
National |
2019 |
|
|
15,880,000,000 PKR$90,867,475.39 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Value of formal housing finance issued per annum in local currency units |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-08-23 |
2019 |
15,880,000,000 PKR$90,867,475.39 |
|
|
Value of formal housing finance outstanding
|
State Bank of Pakistan - Housing Finance Data Review |
National |
2019 |
|
|
103,000,000,000 PKR$589,379,720.76 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Value of formal housing finance outstanding in local currency units |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-08-23 |
2019 |
103,000,000,000 PKR$589,379,720.76 |
|
|
Value of formal housing finance outstanding as % of GDP
|
State Bank of Pakistan - Housing Department Circulars, World Bank National Accounts Data |
National |
2019 |
|
|
0.27% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated |
Data available in table format and raw data |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Value of formal housing finance outstanding in local currency units |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-08-23 |
2019 |
103,000,000,000 |
GDP in nominal local currency units |
National |
World Bank National Accounts DataLink to source |
2021-08-23 |
2019 |
38,000,000,000,000 |
|
|
Prevailing formal housing finance rates
|
State Bank of Pakistan - Annual Report |
National |
2020 |
|
|
5-12% or (Karachi Interbank Offered Rate determined by Central Bank - a reference rate based on interests rates at which banks offer to lend) |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Variances exist between low cost housing finance and housing finance. |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected in the previous 2 calendar years |
Data partially in line with data indicator. |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum formal housing finance rate |
National |
State Bank of Pakistan - Annual ReportLink to source |
2021-09-26 |
2017 |
12% |
Minimum formal housing finance rate |
National |
State Bank of Pakistan - Housing Department Circulars/NotificationsLink to source |
2021-09-26 |
2020 |
5% |
|
|
Maximum formal housing finance term
|
State Bank of Pakistan - Housing Finance Data Review |
National |
2017 |
|
|
25 years |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Variances exist between low cost housing finance and housing finance. |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data is nationally representative |
Data collected and published within the last 5 years |
Data does not indicate housing loan type(s) |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum formal housing finance term |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-09-26 |
2017 |
25 years |
|
|
Maximum LTV on a formal housing finance loan
|
State Bank of Pakistan - Housing Department Circulars/Notifications |
National |
2017 |
|
|
85% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Variances exist between low cost housing finance and housing finance. |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data in line with measurement and provided by regulatory authority |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum LTV on a formal housing finance loan |
National |
State Bank of Pakistan - Housing Department Circulars/NotificationsLink to source |
2021-09-26 |
2017 |
85:15:00 |
|
|
Is there a regulatory cap on formal housing finance interest rates?
|
State Bank of Pakistan - Annual Report |
National |
2017 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Variances exist between low cost housing finance and housing finance. |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected and published within the last 5 years |
Data available for interest rate for low cost housing |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Is there a regulatory cap on formal housing finance interest rates? |
National |
State Bank of Pakistan - Annual ReportLink to source |
2021-09-26 |
2017 |
Yes |
|
|
% of the adult population that borrowed formally
|
World Bank: The Global Findex Database |
National |
2017 |
|
|
2.63% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is an international organization |
Data is nationally representative |
Data collected and published within the last 5 years |
No indication of when data will be updated |
Raw data is available online and requires no manipulation |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
% of the adult population that borrowed formally |
National |
World Bank: The Global Findex DatabaseLink to source |
2021-08-24 |
2017 |
2.63% |
|
|
Income distribution thresholds
|
Household Integrated Economic Survey (HIES) |
National |
2019 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected in the previous 2 calendar years |
Income distribution thresholds are only available for quintiles. Measurement in line with requirement and data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 20th quintile |
National |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
23,192 PKR$132.71 |
Income distribution threshold: 40th percentile |
National |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
29,049 PKR$166.22 |
Income distribution thresholds: 60th quintile |
National |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
31,373 PKR$179.52 |
Income distribution thresholds: 80th quintile |
National |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
37,643 PKR$215.40 |
|
|
Income distribution thresholds |
Household Integrated Economic Survey (HIES) |
Urban |
2019 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for majority of the aggregation(s) |
Data collected in the previous 2 calendar years |
Income distribution thresholds are only available for quintiles. Measurement in line with requirement and data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 20th quintile |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
24,365 PKR$139.42 |
Income distribution thresholds: 40th quintile |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
30,210 PKR$172.87 |
Income distribution thresholds: 60th quintile |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
34,789 PKR$199.07 |
Income distribution thresholds: 80th quintile |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
41,084 PKR$235.09 |
|
|
Income distribution thresholds |
Household Integrated Economic Survey (HIES) |
Karachi |
2019 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator value for Urban Province rather than city |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Income distribution thresholds are only available for quintiles. Values inputted from urban provincial level data. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 20th quintile |
Karachi |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
22,073 PKR$126.30 |
Income distribution thresholds: 40th quintile |
Karachi |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
29,894 PKR$171.06 |
Income distribution thresholds: 60th quintile |
Karachi |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
33,879 PKR$193.86 |
Income distribution thresholds: 80th quintile |
Karachi |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
39,559 PKR$226.36 |
|
|
Income distribution thresholds |
Household Integrated Economic Survey (HIES) |
Lahore |
2019 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator value for Urban Province rather than city |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Income distribution thresholds are only available for quintiles. Values inputted from urban provincial level data. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 20th quintile |
Lahore |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
23,813 PKR$136.26 |
Income distribution thresholds: 40th quintile |
Lahore |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
28,433 PKR$162.70 |
Income distribution thresholds: 60th quintile |
Lahore |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
33,893 PKR$193.94 |
Income distribution thresholds: 80th quintile |
Lahore |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
41,043 PKR$234.85 |
|
|
Income distribution thresholds |
Household Integrated Economic Survey (HIES) |
Peshawar |
2019 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator value for Urban Province rather than city |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Income distribution thresholds are only available for quintiles. Values inputted from urban provincial level data. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 20th quintile |
Peshawar |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
30,692 PKR$175.62 |
Income distribution thresholds: 40th quintile |
Peshawar |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
37,233 PKR$213.05 |
Income distribution thresholds: 60th quintile |
Peshawar |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
41,778 PKR$239.06 |
Income distribution thresholds: 80th quintile |
Peshawar |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
49,138 PKR$281.17 |
|
|
Income distribution thresholds |
Household Integrated Economic Survey (HIES) |
Quetta |
2019 |
|
|
Populated - Click left arrow to view |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator value for Urban Province rather than city |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Income distribution thresholds are only available for quintiles. Values inputted from urban provincial level data. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 20th quintile |
Quetta |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
28,914 PKR$165.45 |
Income distribution thresholds: 40th quintile |
Quetta |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
35,079 PKR$200.73 |
Income distribution thresholds: 60th quintile |
Quetta |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
39,538 PKR$226.24 |
Income distribution thresholds: 80th quintile |
Quetta |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
43,370 PKR$248.17 |
|
|
Does a foreclosure policy exist?
|
National Assembly of Pakistan |
National |
2019 |
|
|
Yes |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data is documented and well defined. Measurement in line with requirement. |
Data available through government ordinance in pdf format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Does a foreclosure policy exist? |
National |
National Assembly of PakistanLink to source |
2021-08-09 |
2019 |
Yes |
Name of foreclosure policy |
National |
National Assembly of PakistanLink to source |
2021-08-09 |
2019 |
Recovery of Mortgage-Backed Securities Ordinance, 2019 |
|
|
Maximum debt burden ratio
|
State Bank of Pakistan |
National |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
National |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Maximum debt burden ratio |
State Bank of Pakistan |
Urban |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Urban |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Maximum debt burden ratio |
State Bank of Pakistan |
Bottom 40 |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Bottom 40 |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Maximum debt burden ratio |
State Bank of Pakistan |
Karachi |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Karachi |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Maximum debt burden ratio |
State Bank of Pakistan |
Lahore |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Lahore |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Maximum debt burden ratio |
State Bank of Pakistan |
Peshawar |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Peshawar |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Maximum debt burden ratio |
State Bank of Pakistan |
Quetta |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Quetta |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Maximum debt burden ratio |
State Bank of Pakistan |
Islamabad |
2021 |
|
|
50% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Data is documented and well defined |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Value is provided by the central bank |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Islamabad |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
|
|
Number of formal housing finance providers regulated by the central bank
|
Pakistan Economic Survey |
National |
2021 |
|
|
42 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. |
Data is related to indicator but errors may persist in underlying data as value has been calculated manually |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
Data lacks information on methodology. Data provided by regulatory authority. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal housing finance providers regulated by the central bank |
National |
Pakistan Economic SurveyLink to source |
2021-09-26 |
2021 |
42 |
|
|
Number of formal housing finance loans issued per annum
|
State Bank of Pakistan - Housing Finance Data Review |
National |
2016 |
|
|
3,119 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Data value cannot be verified. However, value has been provided by the Central Bank. |
Data value is only partially in line with definition as data value only remains available for 9 months |
Data source is a government authority/ government regulated institution |
Data is only available at the national level |
Data collected and published within the last 5 years |
No indication of when data will be updated. Data only includes number of loans issued from January |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal housing finance loans issued per annum |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-09-26 |
2016 |
3,119 |
|
|
Number of formal housing finance loans outstanding
|
State Bank of Pakistan - Housing Finance Data Review |
National |
2019 |
|
|
58,620 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Data value cannot be verified. However, value has been provided by the Central Bank. |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data is only available at the national level |
Data collected in the previous 2 calendar years |
No indication of when data will be updated |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of formal housing finance loans outstanding |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-09-26 |
2019 |
58,620 |
|
|
Non-performing formal housing finance as a % of total outstanding residential housing finance loans
|
State Bank of Pakistan - Housing Finance Data Review |
National |
2019 |
|
|
10.96% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Data value cannot be verified. However, value has been provided by the Central Bank. |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available for required aggregation(s) |
Data collected in the previous 2 calendar years |
No indication of when data will be updated |
Data available online through institution circulars/notifications and report format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Number of outstanding non-performing formal housing finance loans |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-09-26 |
2019 |
6,424 |
Number of outstanding formal housing finance loans |
National |
State Bank of Pakistan - Housing Finance Data ReviewLink to source |
2021-09-26 |
2019 |
58,620 |
|
|
% of households that can afford cheapest partner dwelling
|
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
National |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
Indicator fully in line with definition |
Indicator value is calculated by two distinct sources: government authority and input from key experts |
Data value is available at the national level |
Data collected and published within the last 5 years |
% of households are based on quintiles that can afford cheapest partner dwelling based on market housing finance terms. Aggregate of households in not available. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum LTV on a formal housing finance loan |
National |
State Bank of Pakistan - Housing Department Circulars/NotificationsLink to source |
2021-09-26 |
2017 |
90:10:00 |
Maximum formal housing finance rate |
National |
State Bank of Pakistan - Annual ReportLink to source |
2021-09-26 |
2017 |
12% |
Maximum formal housing finance term |
National |
State Bank of Pakistan - Housing Department Circulars/NotificationsLink to source |
2021-08-20 |
2021 |
25 years |
Maximum debt burden ratio |
National |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
Income distribution threshold: 40th percentile |
National |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
29,049 |
|
|
% of households that can afford cheapest partner dwelling |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Urban |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
Indicator fully in line with definition |
Indicator value is calculated by distinct sources: government regulated institutions and input from key experts |
Data value is available at the urban level |
Data collected and published within the last 5 years |
% of households are based on quintiles that can afford cheapest partner dwelling based on market housing finance terms. Aggregate of households in not available. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution threshold: 40th percentile |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
30,210 |
|
|
% of households that can afford cheapest partner dwelling |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Karachi |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
One element value not in line with required aggregation |
Indicator value is calculated by distinct sources: government regulated institutions and input from key experts |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
% of households are based on quintiles that can afford cheapest partner dwelling based on market housing finance terms. Aggregate of households in not available. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
% of households that can afford cheapest partner dwelling |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Lahore |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
One element value not in line with required aggregation |
Indicator value is calculated by distinct sources: government regulated institutions and input from key experts |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
% of households are based on quintiles that can afford cheapest partner dwelling based on market housing finance terms. Aggregate of households in not available. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
% of households that can afford cheapest partner dwelling |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Peshawar |
2019 |
|
|
<40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
One element value not in line with required aggregation |
Indicator value is calculated by distinct sources: government regulated institutions and input from key experts |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
% of households are based on quintiles that can afford cheapest partner dwelling based on market housing finance terms. Aggregate of households in not available. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
% of households that can afford cheapest partner dwelling |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Quetta |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
One element value not in line with required aggregation |
Indicator value is calculated by distinct sources: government regulated institutions and input from key experts |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
% of households are based on quintiles that can afford cheapest partner dwelling based on market housing finance terms. Aggregate of households in not available. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
% Of households that can afford the cheapest, newly built dwelling by a formal developer or contractor
|
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Urban |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
Indicator fully in line with definition |
formal developer data only utilises data from Reall partners rather than wider sector |
Data value is available at the urban level |
Data collected and published within the last 5 years |
formal developer data only utilises data from Reall partners rather than wider sector |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Urban |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
Income distribution thresholds |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
Partially populated |
|
|
% Of households that can afford the cheapest, newly built dwelling by a formal developer or contractor |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Karachi |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
Indicator fully in line with definition |
formal developer data only utilises data from Reall partners rather than wider sector |
Data value is available at the urban provincial level |
Data collected and published within the last 5 years |
formal developer data only utilises data from Reall partners rather than wider sector |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Karachi |
Modulus Tech (Developer) |
2021-07-16 |
2021 |
2,700,000 |
Maximum debt burden ratio |
Karachi |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
Income distribution thresholds |
Karachi |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
Partially populated |
|
|
% Of households that can afford the cheapest, newly built dwelling by a formal developer or contractor |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Lahore |
2019 |
|
|
<20% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
One element value not in line with required aggregation |
formal developer data only utilises data from Reall partners rather than wider sector |
Data value is available at the urban provincial level |
Data collected and published within the last 5 years |
formal developer data only utilises data from Reall partners rather than wider sector |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Lahore |
EPL (Developer) |
2021-07-05 |
2021 |
2,500,000 |
Maximum debt burden ratio |
Lahore |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
Income distribution thresholds |
Lahore |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
Partially populated |
|
|
% Of households that can afford the cheapest, newly built dwelling by a formal developer or contractor |
Partners, Household Integrated Economic Survey, State Bank of Pakistan |
Peshawar |
2019 |
|
|
<40% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with many gaps. Value is based on quintile values and provides an approximate. |
One element value not in line with required aggregation |
formal developer data only utilises data from Reall partners rather than wider sector |
Data value is available at the urban provincial level |
Data collected and published within the last 5 years |
formal developer data only utilises data from Reall partners rather than wider sector |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Price of the cheapest, newly built dwelling by a formal developer or contractor |
Peshawar |
AMC (Developer) |
2021-10-11 |
2021 |
2,500,000 |
Maximum debt burden ratio |
Peshawar |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50% |
Income distribution thresholds |
Peshawar |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
Partially populated |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms
|
Household Integrated Economic Survey, State Bank of Pakistan |
National |
2019 |
|
|
1,516,956.10 PKR$8,680.22 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available at the national level |
Data collected and published within the last 5 years |
Data has been acquired from regulatory authorities. Data value in line with definition. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum LTV on a formal housing finance loan |
National |
State Bank of Pakistan - Housing Department Circulars/NotificationsLink to source |
2021-09-26 |
2017 |
85 PKR$0.49 |
Maximum formal housing finance rate |
National |
State Bank of Pakistan - Annual ReportLink to source |
2021-09-26 |
2017 |
12 PKR$0.07 |
Maximum formal housing finance term |
National |
State Bank of Pakistan - Housing Department Circulars/NotificationsLink to source |
2021-08-20 |
2021 |
25 PKR$0.14 |
Maximum debt burden ratio |
National |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50 PKR$0.29 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Household Integrated Economic Survey, State Bank of Pakistan |
Urban |
2019 |
|
|
1,577,584.80 PKR$9,027.15 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available at the urban level |
Data collected and published within the last 5 years |
Data has been acquired from regulatory authorities. Data value in line with definition. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
30,210 PKR$172.87 |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Household Integrated Economic Survey, State Bank of Pakistan |
Karachi |
2019 |
|
|
1,561,082.60 PKR$8,932.72 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
Data has been acquired from regulatory authorities. Data value in line with definition and partially in line with required aggregation. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Household Integrated Economic Survey, State Bank of Pakistan |
Lahore |
2019 |
|
|
1,484,788.80 PKR$8,496.16 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
Data has been acquired from regulatory authorities. Data value in line with definition and partially in line with required aggregation. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Household Integrated Economic Survey, State Bank of Pakistan |
Peshawar |
2019 |
|
|
1,944,329.20 PKR$11,125.71 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
Data has been acquired from regulatory authorities. Data value in line with definition and partially in line with required aggregation. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
Maximum dwelling price affordable to B40 households based on market mortgage finance terms |
Household Integrated Economic Survey, State Bank of Pakistan |
Quetta |
2019 |
|
|
1,831,846.50 PKR$10,482.07 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data value is available at the urban provincial level rather than city level |
Data collected and published within the last 5 years |
Data has been acquired from regulatory authorities. Data value in line with definition and partially in line with required aggregation. |
Data is difficult to find. Complicated calculations are required. |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
Maximum dwelling rent affordable to B40 households
|
Household Integrated Economic Survey (HIES), State Bank of Pakistan |
National |
2019 |
|
|
14,524.50 PKR$83.11 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available at the urban provincial level |
Data collected in the previous 2 calendar years |
Data in line with indicator and data provided by regulatory authorities |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
National |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50 PKR$0.29 |
Income distribution thresholds: 40th percentile |
National |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
29,049 PKR$166.22 |
|
|
Maximum dwelling rent affordable to B40 households |
Household Integrated Economic Survey (HIES), State Bank of Pakistan |
Urban |
2019 |
|
|
15,105 PKR$86.43 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is available at the urban provincial level |
Data collected in the previous 2 calendar years |
Data in line with indicator and data provided by regulatory authorities |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Maximum debt burden ratio |
Urban |
State Bank of PakistanLink to source |
2021-11-24 |
2021 |
50 PKR$0.29 |
Income distribution thresholds: 40th percentile |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
30,210 PKR$172.87 |
|
|
Maximum dwelling rent affordable to B40 households |
Household Integrated Economic Survey (HIES), State Bank of Pakistan |
Karachi (Urban Sindh) |
2019 |
|
|
14,947 PKR$85.53 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with data indicator and aggregation. Data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Karachi (Urban Sindh) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
29,894 PKR$171.06 |
|
|
Maximum dwelling rent affordable to B40 households |
Household Integrated Economic Survey (HIES), State Bank of Pakistan |
Lahore (Urban Punjab) |
2019 |
|
|
14,216.50 PKR$81.35 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with data indicator and aggregation. Data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Lahore (Urban Punjab) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
28,433 PKR$162.70 |
|
|
Maximum dwelling rent affordable to B40 households |
Household Integrated Economic Survey (HIES), State Bank of Pakistan |
Peshawar (Urban Khyber Pakhtunkhwa) |
2019 |
|
|
18,616.50 PKR$106.53 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with data indicator and aggregation. Data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Peshawar (Urban Khyber Pakhtunkhwa) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
37,233 PKR$213.05 |
|
|
Maximum dwelling rent affordable to B40 households |
Household Integrated Economic Survey (HIES), State Bank of Pakistan |
Quetta (Urban Balochistan) |
2019 |
|
|
17,539.50 PKR$100.36 |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
One element value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with data indicator and aggregation. Data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Income distribution thresholds: 40th percentile |
Quetta (Urban Balochistan) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
35,079 PKR$200.73 |
|
|
Housing rent as a share of household expenditure
|
Household Integrated Economic Survey (HIES) |
National |
2019 |
|
|
14.13% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is not available at city level |
Data collected in the previous 2 calendar years |
Data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Housing rent as a share of household expenditure |
National |
Household Integrated Economic Survey (HIES)Link to source |
2021-08-06 |
2019 |
14.13% |
|
|
Housing rent as a share of household expenditure |
Household Integrated Economic Survey (HIES) |
Urban |
2019 |
|
|
19.44% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is not available at city level |
Data collected in the previous 2 calendar years |
Data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Housing rent as a share of household expenditure |
Urban |
Household Integrated Economic Survey (HIES)Link to source |
2021-09-26 |
2019 |
19.44% |
|
|
Housing rent as a share of household expenditure |
Household Integrated Economic Survey (HIES) |
Bottom 40 |
2019 |
|
|
15.10% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator fully in line with definition |
Data source is a government authority/ government regulated institution |
Data value is not available at city level |
Data collected in the previous 2 calendar years |
Data provided by regulatory authority. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Housing rent as a share of household expenditure |
Bottom 40 |
Household Integrated Economic Survey (HIES)Link to source |
2021-10-11 |
2019 |
15.10% |
|
|
Housing rent as a share of household expenditure |
Household Integrated Economic Survey (HIES) |
Karachi (Urban Sindh) |
2019 |
|
|
24.15% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with indicator definition and aggregation. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Housing rent as a share of household expenditure |
Karachi (Urban Sindh) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
24.15% |
|
|
Housing rent as a share of household expenditure |
Household Integrated Economic Survey (HIES) |
Lahore (Urban Punjab) |
2019 |
|
|
17.57% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with indicator definition and aggregation. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Housing rent as a share of household expenditure |
Lahore (Urban Punjab) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
17.57% |
|
|
Housing rent as a share of household expenditure |
Household Integrated Economic Survey (HIES) |
Peshawar (Urban Khyber Pakhtunkhwa) |
2019 |
|
|
15.12% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with indicator definition and aggregation. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Housing rent as a share of household expenditure |
Peshawar (Urban Khyber Pakhtunkhwa) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
15.12% |
|
|
Housing rent as a share of household expenditure |
Household Integrated Economic Survey (HIES) |
Quetta (Urban Balochistan) |
2019 |
|
|
17.39% |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
Methodology is documented but with some gaps |
Indicator value not in line with required aggregation |
Data source is a government authority/ government regulated institution |
Data is available at the urban provincial level, but remains unavailable at the city level |
Data collected in the previous 2 calendar years |
Data partially in line with indicator definition and aggregation. |
Data available in table format |
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
Housing rent as a share of household expenditure |
Quetta (Urban Balochistan) |
Household Integrated Economic Survey (HIES)Link to source |
2021-11-02 |
2019 |
17.39% |
|
|
Number of formal estate agents
|
|
- |
|
|
|
- |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
|
|
|
|
|
|
|
|
|
Resale transactions as a % of all residential transactions
|
|
- |
|
|
|
- |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
|
|
|
|
|
|
|
|
|
Number of residential resale transactions
|
|
- |
|
|
|
- |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
|
|
|
|
|
|
|
|
|
Formal housing finance as a % of properties
|
|
- |
|
|
|
- |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
|
|
|
|
|
|
|
Data Elements
|
Aggregation |
Source |
Collection Date |
Year |
Value |
|
|
Number of formal housing finance providers that serve the bottom-end of the market
|
|
- |
|
|
|
- |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
|
|
|
|
|
|
|
|
|
Number of residential mortgages or formal loans provided to the bottom-end of the market
|
|
- |
|
|
|
- |
Indicator Quality Assessment
|
Verifiable |
Relevant |
Credible |
Representative |
Timely |
Final Score |
Data Accessibility |
Quality Score |
|
|
|
|
|
|
|
Narrative |
|
|
|
|
|
|
|
|