Dataset Description

This dataset contains rental property listings scraped from Tonaton.com, one of Ghana's leading online classifieds platforms. It provides valuable information on rental prices across various regions in Ghana, along with other property details. The dataset is designed to support analysis, visualization, and modeling of rental prices in the Ghanaian real estate market.

Research paper: https://arxiv.org/abs/2501.06241 Analysis source code: https://github.com/epigos/house-prices-prediction

Features

The dataset includes the following columns:
- url: The link to the listing.
- name: The headline or title of the rental property listing.
- price: The rental price of the property in Ghanaian Cedis (GHS).
- category: The type of rental property (e.g., apartment, house, room, office).
- bedrooms: The number of bedrooms available in the property.
- bathrooms: The number of bathrooms available in the property.
- floor_area: The floor area of the property in square meters.
- location: The address location where the property is located.
- condition: Condition of the property e.g new, used, off-plan etc. - amenities: Amenities provided in the property. - region: Geographic administrative region of the property location. - locality: Represent the town or city where the property is located. - parking_space: Indicates if there is parking space available. - is_furnished: Indicates if the property is furnished. - lat: Longitude location of the property. - lng: Latitude location of the property.

Potential Use Cases

1. Real Estate Market Analysis: Analyze rental price trends across different locations and property types in Ghana.
2. Price Prediction Models: Train machine learning models to predict rental prices based on features like location, property type, and number of bedrooms.
3. Geographical Insights: Investigate how location impacts rental prices across urban and rural areas in Ghana.
4. Consumer Trends: Study patterns in rental property preferences, such as the most popular types of properties or regions.

Source

The data was scraped from Tonaton.com as of November, 2024. Please note that this dataset reflects the listings available during that period and may not include all rental properties in Ghana.

Disclaimer

This dataset is shared for educational and research purposes only. It is not intended for commercial use or to reproduce Tonaton.com’s proprietary information. Users are responsible for ensuring their use complies with Tonaton.com’s terms and conditions.

Conflict of Interest

There are no conflicts of interest associated with the creation or use of this dataset.

In 2023, real estate in Ghana contributed around *** billion Ghanaian cedis (GHS), roughly ***** million U.S. dollars, to the country's Gross Domestic Product (GDP). This was a slight increase from the preceding year, when approximately *** billion GHS was registered. Except a few decreases visible within the period observed, real estate followed a rising trend in terms of GDP contribution.

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Ghana GDP: GVA: Services: Real Estate, Professional, Administrative and Support Services Activities data was reported at 7,888.913 GHS mn in 2017. This records an increase from the previous number of 6,324.611 GHS mn for 2016. Ghana GDP: GVA: Services: Real Estate, Professional, Administrative and Support Services Activities data is updated yearly, averaging 3,037.832 GHS mn from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 7,888.913 GHS mn in 2017 and a record low of 913.927 GHS mn in 2006. Ghana GDP: GVA: Services: Real Estate, Professional, Administrative and Support Services Activities data remains active status in CEIC and is reported by Ghana Statistical Service. The data is categorized under Global Database’s Ghana – Table GH.A005: SNA 1993: GDP: by Industry: Current Price: Annual.

Ghana GDP: GVA: Services: Real Estate data was reported at 4,562.737 GHS mn in 2017. This records an increase from the previous number of 3,470.011 GHS mn for 2016. Ghana GDP: GVA: Services: Real Estate data is updated yearly, averaging 2,174.266 GHS mn from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 4,562.737 GHS mn in 2017 and a record low of 1,145.090 GHS mn in 2013. Ghana GDP: GVA: Services: Real Estate data remains active status in CEIC and is reported by Ghana Statistical Service. The data is categorized under Global Database’s Ghana – Table GH.A003: SNA 2008: GDP: by Industry: Current Price.

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Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: A structurally separate and independent place of abode. It could be a building or some form of space or shelter arranged for human habitation which was occupied at the time of the Census (e.g. a hut or group of huts). It may contain one or more households. - Households: A household consists of a person or a group of persons, who live together in the same house or compound, share the same house-keeping arrangements and are catered for as one unit. It is important to remember that members of a household are not necessarily related (by blood or marriage) because nonrelatives (e.g. house helps) may form part of a household. - Group quarters: Institutions include educational Institutions such as boarding schools, universities; seminaries and convents; children's homes, orphanages, nurseries, and hostels (e.g. Y.W.C.A.); hospitals, including mental hospitals, maternity homes, divine healers' and herbalists' establishments, rehabilitation centers, and similar institutions for the physically and mentally handicapped; prisons, including borstal institutions, remand homes and industrial schools; service barracks, army camps, military academies, police training schools and colleges.

Universe

All persons in households and all living quarters in Ghana at midnight of Census Night Floating population: Outdoor sleepers, persons who on census night were travelling in lorries, trains, or on foot, persons who spent census night in hotels, rest houses, transit quarters, road camps and labour transit camps, soldiers on field exercise, hunting and fishing groups, beggars, and vagrants (mentally sick or otherwise).

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Ghana Statistical Service

SAMPLE SIZE (person records): 1894133.

SAMPLE DESIGN: Systematic sample of every tenth private dwelling. Drawn by the IPUMS from 100% microdata. Floating population: Outdoor sleepers, persons who on census night were travelling in lorries, trains, or on foot, persons who spent census night in hotels, rest houses, transit quarters, road camps and labour transit camps, soldiers on field exercise, hunting and fishing groups, beggars, and vagrants (mentally sick or otherwise).

Mode of data collection

Face-to-face [f2f]

Research instrument

A single form requested information about dwellings, households and individuals.

Abstract

The population and housing census (PHC) is the unique source of reliable and comprehensive data about the size of population and also on major socio-economic & socio-demographic characteristics of the country. It provides data on geographic and administrative distribution of population and household in addition to the demographic and socio-economic characteristics of all the people in the country. Generally, it provides for comparing and projecting demographic data, social and economic characteristics, as well as household and housing conditions at all levels of the country’s administrative units and dimensions: national, regional, districts and localities. The data from the census is classified, tabulated and disseminated so that researchers, administrators, policy makers and development partners can use the information in formulating and implementing various multi-sectorial development programs at the national and community levels. Data on all key variables namely area, household, population, economic activity, literacy and education, fertility and child survival, housing conditions and sanitation are collected and available in the census data. The 2021 PHC in Ghana had an overarching goal of generating updated demographic, social and economic data, housing characteristics and dwelling conditions to support national development planning activities.

Geographic coverage

National Coverage , Region , District

Analysis unit

• Individuals
• Households
• Emigrants
• Absentee population
• Mortality
• Type of residence (households and non household)

Universe

All persons who spent census night (midnight of 27th June 2021) in Ghana

Kind of data

Census/enumeration data [cen]

Sampling procedure

This 10% sample data for the 2021 PHC is representative at the district/subdistrict level and also by the urban rural classification.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

GSS developed two categories of instruments for the 2021 PHC: the listing form and the enumeration instruments. The listing form was only one, while the enumeration instruments comprised six questionnaires, designated as PHC 1A, PHC 1B, PHC 1C, PHC 1D, PHC 1E and PHC 1F. The PHC 1A was the most comprehensive with the others being its subsets.

1. Listing Form: The listing form was developed to collect data on type of structures, level of completion, whether occupied or vacant and use(s) of the structures. It was also used to collect information about the availability, number and types of toilet facilities in the structures. It was also used to capture the number of households in a structure, number of persons in households and the sex of the persons residing in the households if occupied. Finally, the listing form was used to capture data on non-household populations such as the population in institutions, floating population and sex of the non-household populations.

2. PHC 1A: The PHC 1A questionnaire was used to collect data from all households in the country. Primarily, it was used to capture household members and visitors who spent the Census Night in the dwelling of the household, and their relationship with the head of the household. It was also used to collect data on homeless households. Members of the households who were absent were enumerated at the place where they had spent the Census Night. The questionnaire was also used to collect the following household information: emigration; socio-demographic characteristics (sex, age, place of birth and enumeration, survival status of parents, literacy and education; economic activities; difficulty in performing activities; ownership and usage of information, technology and communication facilities; fertility; mortality; housing characteristics and conditions and sanitation.

3. PHC 1B: The PHC 1B questionnaire was used to collect data from persons in stable institutions comprising boarding houses, hostels and prisons who were present on Census Night. Other information that was captured with this instrument are socio-demographic characteristics, literacy and education, economic activities, difficulty in performing activities; ownership and usage of information, technology and communication facilities; fertility; mortality; housing characteristics and conditions and sanitation.

4. PHC 1C: The PHC 1C questionnaire was used to collect data from persons in “unstable” institutions such as hospitals and prayer camps who were present at these places on Census Night. The instrument was used to capture only the socio-demographic characteristics of individuals.

5. PHC 1D: The PHC 1D questionnaire was used to collect data from the floating population. This constitutes persons who were found at airports, seaports, lorry stations and similar locations waiting for or embarking on long-distance travel, as well as outdoor sleepers on Census Night. The instrument captured the socio-demographic information of individuals.

6. PHC 1E: All persons who spent the Census Night at hotels, motels and guest houses were enumerated using the PHC 1E. The content of the questionnaire was similar to that of the PHC 1D.

7. PHC 1F: The PHC 1F questionnaire was administered to diplomats in the country.

Cleaning operations

The Census data editing was implemented at three levels: 1. data editing by enumerators and supervisors during data collection 2. data editing was done at the regional level by the regional data quality monitors during data collection 3. Final data editing was done at the national level using the batch edits in CSPro and STATA Data editing and cleaning was mainly digital.

Response rate

100 percent

Data appraisal

A post Enumeration Survey (PES) was conducted to assess the extent of coverage and content error.

Ghana GDP: 2013p: GVA: Services: Real Estate data was reported at 1,261.198 GHS mn in 2017. This records an increase from the previous number of 1,214.802 GHS mn for 2016. Ghana GDP: 2013p: GVA: Services: Real Estate data is updated yearly, averaging 1,177.614 GHS mn from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 1,261.198 GHS mn in 2017 and a record low of 1,142.163 GHS mn in 2014. Ghana GDP: 2013p: GVA: Services: Real Estate data remains active status in CEIC and is reported by Ghana Statistical Service. The data is categorized under Global Database’s Ghana – Table GH.A004: SNA 2008: GDP: by Industry: 2013 Price.

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Round 2: Pairwise comparisons of the top factors identified in Round 1, used for AHP analysis to determine their relative importance.

Abstract

The 2010 Census was undertaken to update current information on the size, sex, age, composition and other characteristics of Ghana's population and to ascertain the specific changes in these characteristics which had taken place since the last census was conducted in 2000. The Census was expected to ensure the continuation of a time series of demographic and socio-economic benchmark data at the national and sub-national levels and enhance the capability-building programme of the Statistical Service. The main objective of the 2010 Population and Housing Census was to update the statistical information on the characteristics of the population of Ghana.

Analysis unit

Households and individuals

Universe

The 2010 census covered a de-facto population count of Ghana on Census Night (26th September 2010). These were all usual residents, infants sick as well as the mentally challenged, inmates of institutions. out-door sleepers and all persons who spend census night within the boarders of Ghana, semi-stable floating population enumeration was done immediately after midnight of Census Night. Enumeration was done on Census Night of fishermen, other persons at sea and other persons in Field Camps. All types of housing structures were listed a week before the census night. All enumeration of institutional population was done a week before the Census Night

Kind of data

Census/enumeration data

Mode of data collection

Face-to-face [f2f]

Research instrument

PHC-1A: Household questionnaire - admistered to household population. This questionnaire includes modules on Household roster, Usual household members absent, Emigration, Population, Mortality, ICT, Agriculture and Housing

PHC-1A Usual Members Absent Continuation Sheet

PHC-1A Emigration Continuation Sheet

PHC-1B: Group quarter questionnaire - administered to homeless households and group quarter population. This excludes usual members absent, emigration, mortality, ICT at household level, agricultural and housing modules.

PHC-1C: Group quarter questionnaire which was administered to individual members and later transferred to PHC-1B questionnaire

PHC-3: EA Result Sheet - Captured summary information on population by sex and the number of localities in each Enumeration Area (EA).

PHC-4: Final Summary Sheet - Captured summary information on the number of residential structures, number of households, population by sex and household and non-household population and the availability of telecommunication, education, health and toilet facilities in the locality.

Ghana GDP: 2013p: sa: GVA: Services: Real Estate data was reported at 294.800 GHS mn in Dec 2018. This records a decrease from the previous number of 296.785 GHS mn for Sep 2018. Ghana GDP: 2013p: sa: GVA: Services: Real Estate data is updated quarterly, averaging 296.041 GHS mn from Mar 2013 (Median) to Dec 2018, with 24 observations. The data reached an all-time high of 327.246 GHS mn in Sep 2017 and a record low of 228.610 GHS mn in Mar 2013. Ghana GDP: 2013p: sa: GVA: Services: Real Estate data remains active status in CEIC and is reported by Ghana Statistical Service. The data is categorized under Global Database’s Ghana – Table GH.A007: SNA 2008: GDP: by Industry: 2013 Price: Seasonally Adjusted.

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Ghana Number of Job Postings: Active: Real Estate Rental and Leasing data was reported at 3.000 Unit in 14 Apr 2025. This records a decrease from the previous number of 4.000 Unit for 07 Apr 2025. Ghana Number of Job Postings: Active: Real Estate Rental and Leasing data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 14 Apr 2025, with 902 observations. The data reached an all-time high of 55.000 Unit in 30 Jan 2023 and a record low of 0.000 Unit in 30 Aug 2021. Ghana Number of Job Postings: Active: Real Estate Rental and Leasing data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Ghana – Table GH.RL.JP: Number of Job Postings: Active: by Industry.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS (Integrated Public Use Microdata Series) project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household or group quarter

Universe

All persons in households and all living quarters in Ghana at midnight of Census Night

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Ghana Statistical Service

SAMPLE DESIGN: Systematic sample of every tenth private dwelling. Drawn by the Ghana Statistical Service from 100% microdata.

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 2,466,289

Mode of data collection

Face-to-face [f2f]

Research instrument

Two main forms were used: PHC1A which collected information on individuals and households, and PHC1B which collected only individual level information for institutions and the floating population.

Ghana Number of Job Postings: New: Real Estate Rental and Leasing data was reported at 7.000 Unit in 17 Nov 2025. This records an increase from the previous number of 0.000 Unit for 10 Nov 2025. Ghana Number of Job Postings: New: Real Estate Rental and Leasing data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 17 Nov 2025, with 933 observations. The data reached an all-time high of 368.000 Unit in 09 Jan 2023 and a record low of 0.000 Unit in 10 Nov 2025. Ghana Number of Job Postings: New: Real Estate Rental and Leasing data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Ghana – Table GH.RL.JP: Number of Job Postings: New: by Industry.