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Cote d’Ivoire - Market Shaping Indicators

Country Overview

Cote d’Ivoire’s economic growth has slowed but remained high at 6.86 percent in 2019, significantly above the West African Monetary Union (WAMU) average of 6.6 percent. However an economic slowdown in 2020 is likely, linked to the COVID-19 pandemic and the possibly of presidential elections that could weaken private sector arrangements. Growth could fall to 2.7 percent. Despite this, the government continues to implement its economic and financial programme, notably through reforms outlined in the National Development Plan 2016-2020, including a social and economic housing construction programmme.

However housing is becoming increasingly difficult to access in the economic capital. In 2015, housing-related spending accounted for about one-third of Abidjan household spending (compared to 14 percent nationally). Only a small proportion of Abidjan households are able to acquire housing. In Cote d’Ivoire, the housing supply is mainly made up of informal houses, built by the households themselves. Common yard housing and band houses are the most common forms of habitat in Abidjan. According to the World Bank, 56 percent of the urban population lives in slums.

To meet housing needs, the government has been involved for nearly a decade in the mass production of affordable homes (economic and social). To date, of the 150 000 economic and social housing units to be built by 2020, 15,000 have been delivered or are being delivered mainly on the outskirts of Abidjan.

Housing needs remain extremely high and are far from being met. The economic and social impact of the COVID-19 pandemic and the presidential elections at the end of October 2020 make the business climate relatively uncertain. However, regulatory reforms initiated at the beginning of the year support the development of the housing sector, providing an improved framework for supply development and private investment.

Data Availability

While some of the data is made available by major international organisations and the National Institute of Statistics (created in 1996), the challenge of accessing recent housing finance data remains a major one in Cote d’Ivoire. The Central Bank provides a lot of short-term data on financial dynamics but little on the housing sector (especially mortgages). Knowledge of supply and demand remains approximate and explains, in part, the difficulties encountered in housing production.

At different levels, public authorities have tackled the problem: the government has set up an open data platform¹; with the support of the African Bank of Development, the MCLU has committed to producing a 2012-2017 Statistical Yearbook, with the support of the European Union and the geo-referencing of the recently produced housing supply. But these relevant initiatives require regular updating. The WAMU, with the support of the World Bank, is supporting two West African universities to establish a Centre of Excellence for Housing, which aims to set up data collection and provision of data for all stakeholders in the eight WAMU states.

Text on this page is based on the Cote d’Ivoire Country Profile, drawn from Centre for Affordable Housing Finance (2020). Housing Finance in Africa Yearbook: 11th Edition 2020², with additional content from CAHF and Reall.

Key Indicators

Displayed In

1. Land & Infrastructure

% of urban bottom 40 households without access to basic sanitation services

96.5

Bottom 40 See all MSI countries
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Country Year Data Source Value
Cote d'Ivoire 2012 DHS 96.5%
Ghana 2014 DHS 93.15%
Kenya 2014 DHS 88.25%
Morocco 2004 DHS 52.05%
Mozambique 2011 DHS 95.6%
Nigeria 2018 DHS 83.1%
Tanzania 2017 DHS 37%
Uganda 2016 DHS 94.5%
Rwanda 2016 National Institute of Statistics Rwanda (NISR) 13.13%
Pakistan 2018 The DHS Program 2.75%
India 2018 NSSO 76th Round 0.2%

2. Construction & Investment

% of urban population living in slums, informal settlements, or inadequate dwellings

Close
Country Year Data Source Value
Cote d'Ivoire N/A
Ghana N/A
Kenya N/A
Morocco N/A
Mozambique N/A
Nigeria N/A
Tanzania N/A
Uganda N/A
Rwanda 2018 World Bank 42.1%
Pakistan N/A
India 2018 NSSO 76th Round 35%

3. Sales & Rental

Price of the cheapest, newly built dwelling by a formal developer or contractor

15,500,000 CFA$27,087.48

Urban See all MSI countries
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Country Year Data Source Value
Cote d'Ivoire 2018 Site d'annonce et promotion dans l'immobilier en Côte d'Ivoire 15,500,000 CFA$27,087.48
Ghana 2019 Damax Construction Co. Ltd 108,704 GH₵$19,621.66
Kenya 2019 Tsavo Real Estate 4,000,000 Ksh$37,037.04
Morocco 2019 Various real estate websites 250,000 DH$27,027.03
Mozambique 2016 Casa Minha 3,418,491 MZ$48,147.76
Nigeria 2019 Millard Fuller Foundation; Shelter Origins 2,900,000 NGN$7,651.72
Tanzania 2018 CAHF 37,966,107 TZS$16,508.58
Uganda 2019 Various property developers 125,000,000 UGX$34,097.11
Rwanda 2020 Marchal Real Estate Developers 10,000,000 R₣$11,119.14
Pakistan 2021 Partners 2,500,000 PKR$14,305.33
India 2022 Real estate websites and industry experts 160,000 IN₹$2,176.87

5. Enabling Environment

Ease of Doing Business Index Rank: Global

110

National See all MSI countries
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Country Year Data Source Value
Cote d'Ivoire 2020 World Bank 110
Ghana 2020 World Bank 118
Kenya 2019 World Bank Ease of Doing Business 61
Morocco 2020 World Bank 53
Mozambique 2019 World Bank 74
Nigeria 2020 World Bank 131
Tanzania 2020 World Bank 141
Uganda 2020 World Bank 116
Rwanda 2020 World Bank Ease of Doing Business Indicators 38 out of 190
Pakistan 2020 World Bank Doing Business Indicator 108 out of 190
India 2020 World Bank 63 out of 190

6. Economic Environment

GDP Per Capita

1,024,171 CFA$1,789.82

National See all MSI countries
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Country Year Data Source Value
Cote d'Ivoire 2018 World Bank 1,024,171 CFA$1,789.82
Ghana 2019 World Bank 11,489 GH₵$2,073.83
Kenya 2018 World Bank 173,272 Ksh$1,604.37
Morocco 2018 World Bank 30,725 DH$3,321.62
Mozambique 2018 World Bank 30,772 MZ$433.41
Nigeria 2018 World Bank 659,159 NGN$1,739.21
Tanzania 2018 National Bureau of Statistics; World Bank 2,297,020 TZS$998.80
Uganda 2018 World Bank 2,357,327 UGX$643.02
Rwanda 2019 World Bank 737,578.59 R₣$820.12
Pakistan 2020 World Bank National Accounts Data 188,900 PKR$1,080.91
India 2020 Ministry of Statistics and Program Implementation 151,760 IN₹$2,064.76

7. Demand

Population Size

24,437,469

National See all MSI countries
Close
Country Year Data Source Value
Cote d'Ivoire 2017 World Bank 24,437,469
Ghana 2019 World Bank 30,417,856
Kenya 2017 World Bank 50,221,473
Morocco 2017 World Bank 36,471,769
Mozambique 2018 World Bank 29,495,962
Nigeria 2017 World Bank 190,873,311
Tanzania 2019 World Bank 58,005,463
Uganda 2017 World Bank 41,487,000
Rwanda 2019 World Bank 12,626,950
Pakistan 2020 World Bank National Accounts Data 220,892,331
India 2021 Minsitry of Health and Family Welfare 1,361,343,000
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All Indicators

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    The Market Shaping Indicators project is a work in progress. Significant gaps exist in data, which will be filled in future revisions. We would recommend checking back regularly for updates. We are keen to receive any feedback that you have on this Dashboard, which can be sent to [email protected].

    Using the Dashboard

    The indicators are split into 6 key areas, split into the Housing Value Chain: Land & Infrastructure, Construction & Investment, Sales & Rental, Maintenance & Management, Enabling Environment, Economic Environment and Demand, shown in the following tabs. Navigation can either be undertaken by using the tabs, or through the Search box immediately above. Above this, currency indicators can be toggled between USD and local currency.

    Users are able to further interrogate each indicator each indicator through clicking on the arrows to the left of each indicator. This expanded section shows the data elements that are used to produce the overall indicator value, dates of data collection, source details, hyperlinks to the original data where possible, and a breakdown of data quality. The majority of indicators are quality assessed, based on the whether they are: Interpretable; Relevant; Sufficiently Accurate; Representative; Timely; and Accessible. Indicators are scored on each of these criteria using a 1-4 star system, detailed below:

    ☆ – poor

    ☆☆ – moderate

    ☆☆☆ – good

    ☆☆☆☆ – excellent

    Finally, all data can be downloaded for further interrogation. By clicking on Switch to Data View at the top of the screen, users can filter data based on countries and columns, and download in a .csv or .xls file.

    Bottom 40

    Reall targets the Bottom 40% of the urban income pyramid, referred to as the ‘Bottom 40’ or ‘B40’. An objective of the MSI work was to better understand and demonstrate the market from the perspective of households in the Bottom 40, and as such data is aggregated for this group where possible. Data for this group can be particularly challenging to come across. In part, this is due to the difficulties in accurately defining this group using existing data sets. Additionally though, the informality of much of life for lower income groups severely limits data availability, particularly in terms of key data on jobs, housing and relationships with local government. This lack of data is a key blockage for further engagement at the lower end of the housing market, and resolving this is an objective of Reall’s and of the MSI work.

    Aggregations

    Data is shown at various different “aggregations”, which demonstrate the size and location of the population for which the data represents. This varies from national to city level in terms of population groupings. Additional aggregations exist for the Bottom 40, as detailed above, enabling a focused view on the lower end of the market.

    For relevant data, Reall’s partners are also included as an aggregation. This is not meant to be representative of the entire market, but recognises that as practitioners and experts within the lower end of the housing market of each country, their experiences are a useful check on other data sets, and an indication of the value when other data is not available.

    Terms of Use

    Reall Ltd (“Reall”) endeavours to make its data as freely available as possible in order to demonstrate the successes of its model and encourage other actors into the affordable homes movement. Reall provides the user with access to these data free of charge subject to the terms of this agreement.

    Users are encouraged to use the data to benefit themselves and others in creative ways.

    Unless specifically labelled otherwise, you are free to copy, distribute, adapt, display or include the data in other products for commercial or non-commercial purposes for no cost under a Creative Commons Attribution 4.0 International License, with the additional terms below.  The basic terms may be accessed here. By using or downloading the data, users are agreeing to comply with the terms of a CC BY 4.0 licence, and also agreeing to the following mandatory and binding additions:

    – You agree to provide attribution to Reall in any published use of the data, including but not limited to articles, papers, blogs, books. Usage includes both direct publication of the existing data, along with any analysis undertaken by the user. This attribution should include Reall’s name and the following link – reall.net/dashboard. An electronic copy of all reports and publications based on the data should be shared with Reall ([email protected]).

    – When sharing or facilitating access to the data, you agree to include the same acknowledgement requirement in any sub-licences of the data that you grant, and a requirement that any sub-licences do the same. You may meet this requirement by providing the uniform resource locator (URL) to these terms of use.

    – Some datasets and indicators may be provided by third parties, and may not be redistributed or reused without the consent of the original data provider, or may be subject to additional terms and conditions. Where applicable, third party data is labelled as such, and usage conditions can be found on their respective websites.

    A new Building and Housing Code was introduced in 2020, repealing the previous provisions, including the area of residential leases, building permits, building sales, and real estate development but also the profession of real estate agent, property administrator and agent for sale or lease of commercial funds¹.

    Cote d’Ivoire has gradually adopted comprehensive regulation on housing and urban planning. The land acquisition procedure remains cumbersome despite the introduction of the one stop-shop for building permits in March 2019 because it requires the mobilisation of many ministries and services. This reform was accompanied by a reduction in registration fees and miscellaneous costs and the introduction of an electronic land registry to streamline land acquisition.

    Of the 23 indicators in this group, 5 are currently populated.

    Indicator Data Source Aggregation Year Data Quality Data Accessibility Value
    Total number of residential properties with a title deed
    i
    The total number of residential properties that have a title deed as per the deeds registry.
    Foncier Rural National 2017
    1,262
    % of households without access to improved drinking water services
    i
    The share of households without access to improved drinking water services. According to DHS 7, these include: piped into dwelling piped to yard/plot; public tap/standpipe; piped to neighbour; tube well or borehole; protected well; protected spring; rainwater; tanker truck, cart with small tank; bottled water
    World Bank National 2017
    27.13%
    DHS Bottom 40 2012
    47.30%
    % of households without access to improved sanitation services
    i
    The share of households without access to an improved sanitation facility. According to DHS 7, these include: flush - to piped sewer system; flush - to septic tank; flush - to pit latrine; flush - don't know where; pit latrine - ventilated improved pit (VIP); pit latrine - with slab; composting toilet
    World Bank National 2017
    67.87%
    DHS Bottom 40 2012
    96.50%
    % of households without access to electricity
    i
    The share of households without access to electricity in their dwelling.
    World Bank National 2017
    33.01%
    DHS Bottom 40 2012
    87.10%
    Transport as a % of household expenditure
    i
    Expenditure on transport as a share of total household expenditure.
    National Institute of Statistics National 2019
    10.10%
    Regulated minimum size of a residential plot in urban areas in square meters
    i
    The minimum size of a residential plot in urban areas in square meters as per legislation/regulation.
    - - -
    Smallest residential plot size
    i
    The smallest plot size (in square meters) available in a residential development by a developer / contractor.
    - - -
    Average land costs per m2
    i
    The average cost per square meter of unserviced land that is zoned for residential development in urban areas.
    - - -
    % of land for residential development acquired from the private sector
    i
    Percentage of land acquired from the private sector by formal developers / contractors for residential developments in urban areas out of all the land that they acquired for residential developments in urban areas.
    - - -
    World Bank DBI geographic coverage index score ranking: Africa
    i
    The rank of the country's score on the World Bank's geographic coverage index within Africa. The geographic coverage index has four components: (1) How complete the coverage of the land registry is at the level of the largest business city. A score of 2 is assigned if all privately held land plots in the city are formally registered at the land registry; 0 if not. (2) How complete the coverage of the land registry is at the level of the economy. A score of 2 is assigned if all privately held land plots in the economy are formally registered at the land registry; 0 if not. (3) How complete the coverage of the mapping agency is at the level of the largest business city. A score of 2 is assigned if all privately held land plots in the city are mapped; 0 if not. (4) How complete the coverage of the mapping agency is at the level of the economy. A score of 2 is assigned if all privately held land plots in the economy are mapped; 0 if not. (5) The index ranges from 0 to 8, with higher values indicating greater geographic coverage in land ownership registration and cadastral mapping.
    - - -
    World Bank DBI geographic coverage index score ranking: Global
    i
    The global rank of the country's score on the World Bank's geographic coverage index. The geographic coverage index has four components: (1) How complete the coverage of the land registry is at the level of the largest business city. A score of 2 is assigned if all privately held land plots in the city are formally registered at the land registry; 0 if not. (2) How complete the coverage of the land registry is at the level of the economy. A score of 2 is assigned if all privately held land plots in the economy are formally registered at the land registry; 0 if not. (3) How complete the coverage of the mapping agency is at the level of the largest business city. A score of 2 is assigned if all privately held land plots in the city are mapped; 0 if not. (4) How complete the coverage of the mapping agency is at the level of the economy. A score of 2 is assigned if all privately held land plots in the economy are mapped; 0 if not. The index ranges from 0 to 8, with higher values indicating greater geographic coverage in land ownership registration and cadastral mapping.
    - - -
    World Bank DBI quality of land administration index ranking: Africa
    i
    The rank of the country's score on the World Bank's quality of land administration index within Africa. The quality of land administration index is composed of five other indices: the reliability of infrastructure, transparency of information, geographic coverage, land dispute resolution and equal access to property rights. Data are collected for each economys largest business city.
    - - -
    World Bank DBI quality of land administration index ranking: Global
    i
    The global rank of the country's score on the World Bank's quality of land administration index. The quality of land administration index is composed of five other indices: the reliability of infrastructure, transparency of information, geographic coverage, land dispute resolution and equal access to property rights. Data are collected for each economys largest business city.
    - - -
    Number of procedures to register residential property - - -
    Name of residential property registration procedure that takes the longest to complete
    i
    The name of the procedure that takes the longest to complete out of all procedures required to register residential property. Assumptions about the sellers property: Is fully owned by the seller. Has no mortgages attached and has been under the same ownership for the past 10 years. Is registered in the land registry or cadastre, or both, and is free of title disputes. Is located in an urban residential zone and no rezoning is required. The property, consisting of land and a dwelling, will be transferred in its entirety. The dwelling is in good condition, complies with all safety standards, building codes and other legal requirements. The property will not be subject to renovations or additional construction following the purchase. Has no trees, natural water sources, natural reserves or historical monuments of any kind. Will not be used for special purposes, and no special permits are required. Has no occupants, and no other party holds a legal interest in it. Assumptions about procedures: A procedure is defined as any interaction of the buyer, the seller or their agents (if an agent is legally or in practice required) with external parties, including government agencies, inspectors, public notaries, architects, surveyors, among others. Interactions between company officers and employees are not considered. All procedures that are legally or in practice required for registering property are recorded, even if they may be avoided in exceptional cases. Each electronic procedure is counted as a separate procedure. Payment of capital gains tax can be counted as a separate procedure. If a procedure can be accelerated legally for an additional cost, the fastest procedure is chosen if that option is used by the majority of property owners. Although the buyer may use lawyers or other professionals where necessary in the registration process, it is assumed that the buyer does not employ an outside facilitator in the registration process unless legally or in practice required to do so. Assumptions about time: Time is recorded in calendar days. The measure captures the median duration that property lawyers, notaries or registry officials indicate is necessary to complete a procedure. It is assumed that the minimum time required for each procedure is one day, except for procedures that can be fully completed online, for which the time required is recorded as half a day. Although procedures may take place simultaneously, they cannot start on the same day (again except for procedures that can be fully completed online). It is assumed that the buyer does not waste time and commits to completing each remaining procedure without delay. If a procedure can be accelerated for an additional cost, the fastest legal procedure available and used by the majority of property owners is chosen. It is assumed that the parties involved are aware of all requirements and their sequence from the beginning. Time spent on gathering information is not considered. If time estimates differ among sources, the median reported value is used.
    - - -