43 datasets found
  1. Nigeria Real Estate Market Size and Share | Statistics - 2030

    • nextmsc.com
    csv, pdf
    Updated Jul 2025
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    Supradip Baul (2025). Nigeria Real Estate Market Size and Share | Statistics - 2030 [Dataset]. https://www.nextmsc.com/report/nigeria-real-estate-market
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    pdf, csvAvailable download formats
    Dataset updated
    Jul 2025
    Dataset provided by
    Next Move Strategy Consulting
    Authors
    Supradip Baul
    License

    https://www.nextmsc.com/privacy-policyhttps://www.nextmsc.com/privacy-policy

    Time period covered
    2023 - 2030
    Area covered
    Global, Nigeria
    Description

    In 2023, the Nigeria Real Estate Market reached a value of USD 91.1 million, and it is projected to surge to USD 137.8 million by 2030.

  2. Real GDP growth of real estate sector in Nigeria Q1 2022-Q2 2023

    • statista.com
    Updated Sep 30, 2024
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    Statista (2024). Real GDP growth of real estate sector in Nigeria Q1 2022-Q2 2023 [Dataset]. https://www.statista.com/statistics/1365460/real-gdp-growth-of-real-estate-sector-in-nigeria/
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    Dataset updated
    Sep 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    In the second quarter of 2023, Nigeria's real estate sector grew by about 1.87 percent compared to the same quarter of the previous year. Over the observed period, the growth rate reached its highest value in the third quarter of 2022, as it grew by 4.56 percent compared to the same quarter of the previous year.

  3. Nigeria GDP: Basic Prices: Services: Real Estate

    • ceicdata.com
    Updated Sep 15, 2018
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    CEICdata.com (2018). Nigeria GDP: Basic Prices: Services: Real Estate [Dataset]. https://www.ceicdata.com/en/nigeria/sna-2008-gdp-by-industry-current-price/gdp-basic-prices-services-real-estate
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    Dataset updated
    Sep 15, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    Nigeria
    Variables measured
    Gross Domestic Product
    Description

    Nigeria GDP: Basic Prices: Services: Real Estate data was reported at 3,767,255.400 NGN mn in Dec 2024. This records a decrease from the previous number of 3,908,510.957 NGN mn for Sep 2024. Nigeria GDP: Basic Prices: Services: Real Estate data is updated quarterly, averaging 2,076,878.659 NGN mn from Mar 2010 (Median) to Dec 2024, with 60 observations. The data reached an all-time high of 5,177,948.588 NGN mn in Mar 2024 and a record low of 888,228.373 NGN mn in Mar 2010. Nigeria GDP: Basic Prices: Services: Real Estate data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s Nigeria – Table NG.A005: SNA 2008: GDP: by Industry: Current Price.

  4. p

    Real Estate Consultants in Nigeria - 3,305 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 30, 2025
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    Poidata.io (2025). Real Estate Consultants in Nigeria - 3,305 Verified Listings Database [Dataset]. https://www.poidata.io/report/real-estate-consultant/nigeria
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    json, excel, csvAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Nigeria
    Description

    Comprehensive dataset of 3,305 Real estate consultants in Nigeria as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  5. T

    Nigeria CPI Housing Utilities

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Nigeria CPI Housing Utilities [Dataset]. https://tradingeconomics.com/nigeria/cpi-housing-utilities
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    csv, xml, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1995 - Jul 31, 2025
    Area covered
    Nigeria
    Description

    CPI Housing Utilities in Nigeria decreased to 130.10 points in July from 131.60 points in June of 2025. This dataset provides - Nigeria Cpi Housing Utilities- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. N

    Nigeria No of Job Postings: Removed: Real Estate Rental and Leasing

    • ceicdata.com
    Updated Feb 2, 2018
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    CEICdata.com (2018). Nigeria No of Job Postings: Removed: Real Estate Rental and Leasing [Dataset]. https://www.ceicdata.com/en/nigeria/number-of-job-postings-removed-by-industry/no-of-job-postings-removed-real-estate-rental-and-leasing
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    Dataset updated
    Feb 2, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2024 - Mar 17, 2025
    Area covered
    Nigeria
    Description

    Nigeria Number of Job Postings: Removed: Real Estate Rental and Leasing data was reported at 47.000 Unit in 05 May 2025. This records a decrease from the previous number of 67.000 Unit for 28 Apr 2025. Nigeria Number of Job Postings: Removed: Real Estate Rental and Leasing data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 123.000 Unit in 24 Feb 2025 and a record low of 0.000 Unit in 21 Jun 2021. Nigeria Number of Job Postings: Removed: 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 Nigeria – Table NG.RL.JP: Number of Job Postings: Removed: by Industry.

  7. Nigeria Geospatial Analytics Market Size & Share Analysis - Industry...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated May 15, 2025
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    Mordor Intelligence (2025). Nigeria Geospatial Analytics Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/nigeria-geospatial-analytics-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Nigeria
    Description

    Nigeria's Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), by End User Vertical ( Agriculture, Utility and Communication, Defence and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

  8. N

    Nigeria No of Job Postings: Active: Real Estate Rental and Leasing

    • ceicdata.com
    Updated Sep 15, 2018
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    CEICdata.com (2018). Nigeria No of Job Postings: Active: Real Estate Rental and Leasing [Dataset]. https://www.ceicdata.com/en/nigeria/number-of-job-postings-active-by-industry/no-of-job-postings-active-real-estate-rental-and-leasing
    Explore at:
    Dataset updated
    Sep 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 9, 2024 - Feb 24, 2025
    Area covered
    Nigeria
    Description

    Nigeria Number of Job Postings: Active: Real Estate Rental and Leasing data was reported at 279.000 Unit in 05 May 2025. This records a decrease from the previous number of 288.000 Unit for 28 Apr 2025. Nigeria Number of Job Postings: Active: Real Estate Rental and Leasing data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 401.000 Unit in 24 Feb 2025 and a record low of 0.000 Unit in 04 Jan 2021. Nigeria 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 Nigeria – Table NG.RL.JP: Number of Job Postings: Active: by Industry.

  9. Price of the cheapest newly built home in Africa 2024, by country

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Price of the cheapest newly built home in Africa 2024, by country [Dataset]. https://www.statista.com/statistics/1391051/residential-real-estate-price-africa/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    The prices for the cheapest newly built housing in two African countries, Sudan and South Sudan, exceeded ****** U.S. dollars in 2024. In the Seychelles, the price of the most affordable housing was about ****** U.S. dollars. Nigeria, Kenya, and Egypt all had house prices under 10,000 U.S. dollars.

  10. Volume of proptech investment in Nigeria and South Africa 2010-H1 2022, by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Volume of proptech investment in Nigeria and South Africa 2010-H1 2022, by country [Dataset]. https://www.statista.com/statistics/1333289/volume-of-proptech-investment-africa/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa, Nigeria
    Description

    Proptech refers to the use of technology and innovation within the real estate industry. In South Africa, the volume of investment in the proptech sector totaled *********** U.S. dollars as of the first half of 2022, while in Nigeria, this figure amounted to *********** U.S. dollars.

  11. m

    ML Journal data

    • data.mendeley.com
    Updated Nov 9, 2021
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    Godoyon Wusu (2021). ML Journal data [Dataset]. http://doi.org/10.17632/cksnz97mcm.1
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    Dataset updated
    Nov 9, 2021
    Authors
    Godoyon Wusu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Nigeria, like many nations in the world, is embattled by a housing shortage. It has a housing deficit running to 20 million. There has been a proposition that Off-Site Construction (OSC), because of its speed of erection, can help in combating the housing shortage. however, for it to be adopted in society, some factors have to be considered. what then are these factors and which of them are most critical to successfully adopting OSC within the Nigerian context? This work is researched by utilizing prediction capabilities for OSC adoption in Nigeria. Data was collected through questionnaires from industry players within the Nigerian construction industry (Boothman et al., 2014.; Brannen & Moss, 2012). First, literature relating to OSC and its adoption was sourced through scholarly search engines like Google Scholar and Scopus (Almalki, 2016; O'Neill & Organ, 2016). The literature survey used key search words and phrases such as adoption, Design for Manufacture and Assembly, Offsite Construction and Prefab Constructions, and key authors' names. Specifically, research published on the subject between 2000 to 2021 were considered. A review of these papers informed the potential critical factors responsible for low DfMA adoption in Nigeria.

    The questionnaire was developed in Microsoft form. Using a purposeful sampling technique (Palinkas et al., 2015), the form link was administered to relevant key players in the Nigerian construction industry through e-mails and social media platforms for responses. The targeted responders were architects, civil/structural engineers, electrical engineers, mechanical engineers, building engineers, town/urban planners, quantity surveyors, contractors, academics, real estate investors, and developers. They were considered because they are thought to be actively involved in everyday construction processes in the country and involved in making and taking decisions bordering around the choice of building materials to be used on projects. The research outcome identifies seven (7) best performing algorithms: Decision Tree, Random Forest, K-Nearest Neighbour, Extra-Trees, AdaBoost, Support Vector Machine, and Artificial Neural Network. It also reported finance, awareness, use of Building Information Modeling (BIM), attitude and belief in OSC as the main influencing factors. Availability of expertise knowledge, favourable exchange rate and skilled personnel as other underlining influencing factors. It was concluded that with detailed attention paid to the identified factors, OSC usage could find its footing in Nigeria and, consequently, Africa. The models can also serve as a template for other regions where OSC adoption is being considered.

  12. N

    Nigeria NG: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To...

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). Nigeria NG: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High [Dataset]. https://www.ceicdata.com/en/nigeria/policy-and-institutions/ng-cpia-property-rights-and-rulebased-governance-rating-1low-to-6high
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    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Nigeria
    Description

    Nigeria NG: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High data was reported at 2.500 NA in 2017. This stayed constant from the previous number of 2.500 NA for 2016. Nigeria NG: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High data is updated yearly, averaging 2.500 NA from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 2.500 NA in 2017 and a record low of 2.500 NA in 2017. Nigeria NG: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Policy and Institutions. Property rights and rule-based governance assess the extent to which private economic activity is facilitated by an effective legal system and rule-based governance structure in which property and contract rights are reliably respected and enforced.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;

  13. N

    Nigeria Geospatial Analytics Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 30, 2025
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    Market Report Analytics (2025). Nigeria Geospatial Analytics Market Report [Dataset]. https://www.marketreportanalytics.com/reports/nigeria-geospatial-analytics-market-88001
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Niger
    Variables measured
    Market Size
    Description

    The Nigeria Geospatial Analytics market, valued at $80 million in 2025, is projected to experience robust growth, with a Compound Annual Growth Rate (CAGR) of 5.94% from 2025 to 2033. This expansion is driven by increasing government investments in infrastructure development, a burgeoning need for precise land management solutions within the agricultural sector, and the rising adoption of geospatial technologies across various industries like mining, real estate, and transportation. The market's segmentation reveals strong potential across diverse end-user verticals. Agricultural applications are likely to lead, followed by utility and communication, defense and intelligence, and government sectors. The increasing use of precision agriculture techniques, coupled with the need for efficient resource management, fuels this demand. Furthermore, the integration of advanced technologies like AI and machine learning within geospatial analytics platforms is expected to enhance accuracy and efficiency, fostering further market expansion. The competitive landscape showcases a mix of international giants and local players. Major players like Autodesk, Trimble, Esri, and Hexagon are leveraging their established presence and technological expertise to capture significant market share. However, local companies like Geodata Nigeria and Sambus Geospatial Services are well-positioned to capitalize on the growing demand for localized solutions and services. The market's growth trajectory suggests significant opportunities for both established firms and new entrants, but success hinges on providing customized solutions tailored to the specific needs of the Nigerian market and navigating the challenges associated with data infrastructure and technological adoption. The forecast period will see substantial growth primarily driven by the continued adoption across various sectors, increased government initiatives supporting digital transformation, and strategic partnerships between international and local players. Recent developments include: April 2023: Abuduganiyu Adebomehin, the Surveyor General of the Federation (SGoF), has praised Sambus Geospatial Nigeria Limited, a provider of solutions, for its dedication to the promotion of a producing high-quality, accurate, and real-time geographic data for Nigeria. The Office of the Surveyor General of the Federation (OSGoF) donated five copies of mapping software (ESRI Arc GIS Pro Advance with ten extensions), which the SGoF accepted in exchange for the praise.. Key drivers for this market are: Commercialization of spatial data, Increased smart city & infrastructure projects. Potential restraints include: Commercialization of spatial data, Increased smart city & infrastructure projects. Notable trends are: Commercialization of spatial data would drive the market in Nigeria.

  14. T

    Nigeria - Royalty And License Fees, Payments (BoP, Current US$)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 6, 2013
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    TRADING ECONOMICS (2013). Nigeria - Royalty And License Fees, Payments (BoP, Current US$) [Dataset]. https://tradingeconomics.com/nigeria/royalty-and-license-fees-payments-bop-us-dollar-wb-data.html
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Aug 6, 2013
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Nigeria
    Description

    Charges for the use of intellectual property, payments (BoP, current US$) in Nigeria was reported at 252840000 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Royalty and license fees, payments (BoP, current US$) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  15. T

    Nigeria - CPIA Property Rights And Rule-based Governance Rating (1=low To...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 3, 2017
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    TRADING ECONOMICS (2017). Nigeria - CPIA Property Rights And Rule-based Governance Rating (1=low To 6=high) [Dataset]. https://tradingeconomics.com/nigeria/cpia-property-rights-and-rule-based-governance-rating-1-low-to-6-high-wb-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 3, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Nigeria
    Description

    CPIA property rights and rule-based governance rating (1=low to 6=high) in Nigeria was reported at 2.5 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - CPIA property rights and rule-based governance rating (1=low to 6=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  16. N

    Nigeria NG: Procedures to Register Property

    • ceicdata.com
    Updated Sep 15, 2018
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    CEICdata.com (2018). Nigeria NG: Procedures to Register Property [Dataset]. https://www.ceicdata.com/en/nigeria/company-statistics/ng-procedures-to-register-property
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    Dataset updated
    Sep 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2017
    Area covered
    Nigeria
    Variables measured
    Enterprises Statistics
    Description

    Nigeria NG: Procedures to Register Property data was reported at 11.300 Number in 2017. This records a decrease from the previous number of 12.100 Number for 2016. Nigeria NG: Procedures to Register Property data is updated yearly, averaging 12.100 Number from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 12.100 Number in 2016 and a record low of 11.300 Number in 2017. Nigeria NG: Procedures to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Company Statistics. Number of procedures to register property is the number of procedures required for a businesses to secure rights to property.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  17. Nigeria Rent Prices (2022)

    • kaggle.com
    Updated Nov 27, 2022
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    Eyimofe A. Pinnick (2022). Nigeria Rent Prices (2022) [Dataset]. https://www.kaggle.com/datasets/eyimofeapinnick/nigeria-rent-prices-2022/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 27, 2022
    Dataset provided by
    Kaggle
    Authors
    Eyimofe A. Pinnick
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Nigeria
    Description

    The dataset for this project was obtained from a Nigerian real estate company called PropertyPro NG (https://www.propertypro.ng/). The extracted dataset contained information such as the rent of residential properties e.g. homes, apartments across different cities in Nigeria in 2022.

    The price of this properties are in the Nigerian Naira (NGN)

    Using web scraping technology through Python and BeautifulSoup4, the data was scraped from their listing page of properties in Nigeria.

    The goal is to predict the sales price of a property. This would be a good challenge for practicing your feature engineering skills like: - Extracting the type of property from the Title/More Info e.g. Duplex, Semi-Duplex, Apartment, Flat - Extracting the State, City, Neighborhood or Estate of the property from the Location - Converting the strings in the Bathroom, Toilet or Bedroom columns into numbers - Converting the Price column into a numerical object and extracting the Price Period e.g per year, per sqm from the same column

    NAME OF COLUMNDESCRIPTION OF COLUMNDATA OBJECT
    TitleTitle of the property e.g. Brand New 5 Bedroom Semi-Detached DuplexString
    More InfoMore Information about the property e.g. 4 BEDROOM HOUSE FOR RENTString
    LocationLocation of the property e.g. Hrc Estate Beside Vgc Estate, Vgc Lekki LagosString
    ServicedWhether the property has been serviced e.g. sockets have been installed or other renovations.Integer
    Newly BuiltWhether the property was newly builtInteger
    FurnishedWhether the property has been furnishedInteger
    BedroomsNumber of bedrooms on the propertyString
    BathroomsNumber of bathrooms on the propertyString
    ToiletsNumber of toilets on the propertyString
    PriceThe price of the propertyString (Target)
  18. Monthy rents in Abuja, Nigeria 2015, by property type

    • statista.com
    Updated Aug 17, 2015
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    Statista (2015). Monthy rents in Abuja, Nigeria 2015, by property type [Dataset]. https://www.statista.com/statistics/596332/monthy-rents-in-abuja-nigeria-by-property-type/
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    Dataset updated
    Aug 17, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    Nigeria
    Description

    This statistic shows the average monthly rents in Abuja, Nigeria in 2015, by property type (in U.S. dollars per square meter). The average monthly industrial rent in Abuja, Nigeria in 2015 averaged 12 U.S. dollars per square meter.

  19. Nigeria NG: Time Required to Register Property

    • ceicdata.com
    Updated Sep 15, 2018
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    CEICdata.com (2018). Nigeria NG: Time Required to Register Property [Dataset]. https://www.ceicdata.com/en/nigeria/company-statistics/ng-time-required-to-register-property
    Explore at:
    Dataset updated
    Sep 15, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2017
    Area covered
    Nigeria
    Variables measured
    Enterprises Statistics
    Description

    Nigeria NG: Time Required to Register Property data was reported at 68.900 Day in 2017. This records a decrease from the previous number of 69.600 Day for 2016. Nigeria NG: Time Required to Register Property data is updated yearly, averaging 69.600 Day from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 69.600 Day in 2016 and a record low of 68.900 Day in 2017. Nigeria NG: Time Required to Register Property data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Company Statistics. Time required to register property is the number of calendar days needed for businesses to secure rights to property.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  20. Nigeria NG: BOP: Current Account: Charges for the Use of Intellectual...

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    CEICdata.com, Nigeria NG: BOP: Current Account: Charges for the Use of Intellectual Property: Receipts [Dataset]. https://www.ceicdata.com/en/nigeria/balance-of-payments-current-account/ng-bop-current-account-charges-for-the-use-of-intellectual-property-receipts
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Nigeria
    Variables measured
    Balance of Payment
    Description

    Nigeria NG: BOP: Current Account: Charges for the Use of Intellectual Property: Receipts data was reported at 7.828 USD mn in 1984. This records an increase from the previous number of 6.902 USD mn for 1983. Nigeria NG: BOP: Current Account: Charges for the Use of Intellectual Property: Receipts data is updated yearly, averaging 8.368 USD mn from Dec 1981 (Median) to 1984, with 4 observations. The data reached an all-time high of 21.046 USD mn in 1981 and a record low of 6.902 USD mn in 1983. Nigeria NG: BOP: Current Account: Charges for the Use of Intellectual Property: Receipts data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Balance of Payments: Current Account. Charges for the use of intellectual property are payments and receipts between residents and nonresidents for the authorized use of proprietary rights (such as patents, trademarks, copyrights, industrial processes and designs including trade secrets, and franchises) and for the use, through licensing agreements, of produced originals or prototypes (such as copyrights on books and manuscripts, computer software, cinematographic works, and sound recordings) and related rights (such as for live performances and television, cable, or satellite broadcast). Data are in current U.S. dollars.; ; International Monetary Fund, Balance of Payments Statistics Yearbook and data files.; Sum; Note: Data are based on the sixth edition of the IMF's Balance of Payments Manual (BPM6) and are only available from 2005 onwards.

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Supradip Baul (2025). Nigeria Real Estate Market Size and Share | Statistics - 2030 [Dataset]. https://www.nextmsc.com/report/nigeria-real-estate-market
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Nigeria Real Estate Market Size and Share | Statistics - 2030

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pdf, csvAvailable download formats
Dataset updated
Jul 2025
Dataset provided by
Next Move Strategy Consulting
Authors
Supradip Baul
License

https://www.nextmsc.com/privacy-policyhttps://www.nextmsc.com/privacy-policy

Time period covered
2023 - 2030
Area covered
Global, Nigeria
Description

In 2023, the Nigeria Real Estate Market reached a value of USD 91.1 million, and it is projected to surge to USD 137.8 million by 2030.

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