Where to Get GIS Data for Land Use, Property Mapping and Urban Planning

Where Can I Get GIS Data for Land Use, Property Mapping

Let me guess how you got here. You’re either a student trying to finish a project before a Monday deadline, a planning consultant who just got a job in a state your firm has never worked in before, or a young GIS analyst who was told to “just find the data” by a boss who has no idea how scattered that data actually is. I’ve been all three of those people at different points in my career, and I’ve also been the one training students at University of Uyo who couldn’t find a single usable shapefile for their study area because nobody ever sat them down and explained where this data actually lives.

So this isn’t going to read like a “top 10 GIS websites” listicle. I’m going to walk you through this the way I’d walk a student or a junior colleague through it in my office layer by layer, source by source, including the ones that are genuinely useless for African data and the ones nobody talks about that have saved my projects more than once.

First, Understand That “GIS Data” Isn’t One Thing

Before you go searching, it helps to know that the phrase “GIS data” is really shorthand for dozens of different layer types, each with its own best sources, its own formats, and its own quirks. Vector data (points, lines, polygons think roads, boundaries, buildings) comes from different places than raster data (continuous grids think satellite imagery, elevation, rainfall). Global data comes from different places than country-specific data. And free data almost always comes with tradeoffs that paid data doesn’t.

Once you internalize that, the search stops feeling random. You start asking “what layer do I need, at what resolution, for what area, and how current does it need to be” and that question has actual answers.

Before opening a single data portal, write down four things: your study area’s exact extent, the coordinate system/datum your project needs (in Nigeria, that’s usually Minna Datum, UTM Zone 31N or 32N depending on location), your required resolution, and your deadline. Half the time I’ve watched students waste hours, it’s because they downloaded the wrong projection or the wrong resolution and only discovered it after import.

Shapefiles: Where the Vector Data Actually Lives

A shapefile isn’t a data type on its own it’s a container format for vector data (points, lines, polygons). When people ask “where do I get shapefiles,” they usually mean administrative boundaries, roads, or land parcels in a ready-to-use GIS format.

Natural Earth clean, well-maintained global shapefiles for coastlines, boundaries, rivers, and populated places at multiple detail levels. My default starting point for any global-scale map.

DIVA-GIS country-level packages combining administrative boundaries, roads, land cover, and climate in shapefile format; genuinely useful for a fast first look at an African country’s data landscape.

Humanitarian Data Exchange (HDX) administered by UN OCHA, and one of the most underrated sources for African country data specifically, including Nigeria. Search by country and you’ll often find boundaries, settlements, and infrastructure layers contributed by humanitarian agencies working on the ground.

GADM global administrative boundaries down to district/LGA level, in shapefile and geopackage format, widely used as a baseline even though the boundary accuracy in parts of Africa isn’t survey-grade.

OpenStreetMap exports (via Geofabrik or HOT Export Tool) covered in more detail below, but worth mentioning here because OSM data downloads natively as shapefile-compatible vector layers.

Satellite Imagery: Free vs. What You Actually Need

Satellite imagery searches send most people straight to Google Earth screenshots, which is a mistake if you need actual analyzable imagery rather than a pretty background.

USGS EarthExplorer the single most important free imagery archive that exists. Landsat data going back to 1972, plus Sentinel, ASTER, and NAIP where applicable. Requires free registration, and the interface is dated, but nothing else matches its depth of historical coverage.

Copernicus Data Space Ecosystem the official home of Sentinel-1 (radar) and Sentinel-2 (optical) imagery from the European Space Agency, refreshed every few days for most of the globe, at 10m resolution for Sentinel-2. This is genuinely usable for land-use change detection over time, not just a pretty base map.

NASA Earthdata broader than just imagery; covers atmospheric, land surface, and vegetation data alongside imagery, useful once your project moves beyond a simple base map into environmental analysis.

Sentinel Hub / EO Browser a browser-based viewer that lets you preview and lightly process Sentinel and Landsat imagery without downloading raw files first, which is genuinely faster for a quick visual check.

Google Earth Engine not a download source in the traditional sense, but a cloud platform that gives you access to decades of Landsat and Sentinel imagery for analysis without ever downloading the raw files yourself. Worth learning if you do this regularly, overkill for a one-off project.

IMPORTANT (Before You Build a Map With This): Free satellite imagery resolution matters more than most students realize. Landsat gives you roughly 30m resolution fine for regional land-use classification, useless for identifying individual buildings or property boundaries. Sentinel-2 gives you 10m better, but still not property-line precision. If your project genuinely needs to distinguish individual structures or parcel boundaries, you need high-resolution commercial imagery (Maxar, Airbus, Planet) or drone/UAV capture, not free satellite sources.

DEM (Digital Elevation Model) and Elevation Data

DEM data gives you terrain height, which feeds into slope analysis, drainage modelling, flood risk, and site suitability core work for any planning or engineering project.

USGS EarthExplorer (again) hosts SRTM (Shuttle Radar Topography Mission) data at 30m resolution globally, and often finer resolution for the US.

OpenTopography a dedicated elevation data portal with LiDAR-derived DEMs where available, plus SRTM and other global datasets, with a genuinely good search-by-area interface.

ALOS World 3D (AW3D30) a 30m global DEM from JAXA (Japan’s space agency) that, in my experience, sometimes captures terrain in tropical/forested areas more accurately than SRTM, which struggles with dense canopy cover common across southern Nigeria.

Copernicus GLO-30 DEM a newer global 30m DEM from the Copernicus program, worth cross-checking against SRTM and AW3D30 for consistency in your specific study area, since elevation datasets can disagree meaningfully in forested or hilly terrain.

Roads and Transport Data

OpenStreetMap by far the most current and detailed source for road networks in most of the world, Nigeria included, because it’s continuously edited by contributors rather than updated on a government revision cycle that might be a decade old.

HDX often carries humanitarian-agency-verified road network data for specific Nigerian states, particularly areas that have received flood or conflict response attention.

US Census TIGER (US-specific) includes road, rail, and address-range data for the United States, free in shapefile, KML, or geodatabase format.

National road authority data where it exists and is published (Federal Ministry of Works in Nigeria, state Ministries of Transport), this is the most authoritative source for classified road networks, though publication and update consistency varies significantly by state.

Rivers, Drainage, and Hydrology Data

HydroSHEDS a global hydrology dataset derived from elevation data, giving you river networks, watershed boundaries, and drainage direction consistently worldwide. This is the one most Nigerian students never discover and then struggle to hand-digitize rivers from imagery instead.

Natural Earth simpler global river and lake layers, good enough for a regional-scale map where you don’t need hydrological modelling precision.

HDX and national hydrological agencies for Nigeria specifically, the Nigeria Hydrological Services Agency (NIHSA) is the authoritative body for river gauge and flood data, though public data availability directly from their portal is inconsistent.

Administrative Boundaries

GADM the most commonly used global source for country, state, and LGA-level boundaries, though I’d flag that boundary precision in parts of rural Nigeria isn’t survey-grade treat it as a good working baseline, not a legal boundary reference.

HDX frequently has more current and locally-verified Nigerian administrative boundaries (state, LGA, and sometimes ward level) than global generic sources, because humanitarian response work in Nigeria has driven active boundary verification in specific states.

Nigeria GeoPortal (built on the National Bureau of Statistics’ data, powered with Esri) a dedicated national portal aiming to be the one-stop shop for Nigerian geospatial datasets including administrative boundaries, though as with many young government geoportals, coverage completeness varies by dataset and state.

National Bureau of Statistics (NBS) publishes boundary shapefiles tied to census enumeration areas, useful when you need boundaries that align with the population data described next.

Population and Demographic Data

WorldPop high-resolution gridded population estimates (down to 100m grid cells in many countries) that disaggregate national census figures spatially extremely useful when you need population density at a finer scale than LGA-level census totals give you.

GRID3 specifically built for Nigeria and several other African countries, GRID3’s Nigeria geodatabase includes gridded population estimates aggregated at country, state, LGA, and ward level, alongside settlement and infrastructure layers, and is now managed through NASRDA after a technology transfer from the original GRID3 program. This is, in my experience, the single best population data source for Nigerian planning work specifically.

National Bureau of Statistics (NBS) the official source for Nigerian census figures at national, state, and LGA level, though the most recent full national census data has well-documented currency and granularity limitations for planning-level work.

NASRDA’s national geodatabase inherited from GRID3, reportedly containing over a thousand datasets across all 36 states and the FCT spanning 12 sectors, with public access to most datasets by sector and state.

Land-Use and Land-Cover Data

It’s worth separating these two, because they’re not the same thing and I see them confused constantly. Land cover describes the physical surface (forest, water, built-up, bare soil), usually derived directly from satellite imagery classification. Land use describes the human activity on that land (residential, agricultural, commercial), which often requires local knowledge or survey data that pure imagery classification cannot capture on its own.

ESA WorldCover a global 10m resolution land-cover product derived from Sentinel-1 and Sentinel-2 data, genuinely good enough for regional land-cover mapping without any classification work of your own.

ESRI Land Cover / Living Atlas annual global land-cover layers, straightforward to bring directly into ArcGIS-based workflows.

Copernicus Global Land Cover another credible free global option, updated periodically.

State/local planning authority land-use maps for actual land-use (not just cover), you generally need the master plan or zoning maps from the relevant state Ministry of Lands/Physical Planning, because no satellite product can tell you a building is zoned “commercial” versus “residential” that’s a policy layer, not a physical one.

Soil Data

FAO Harmonized World Soil Database (HWSD) the standard global reference for soil type, texture, and characteristics, useful for site suitability and agricultural planning work at a coarse but usable resolution.

ISRIC SoilGrids a more granular, machine-learning-derived global soil property dataset (pH, texture, organic carbon, and more) at 250m resolution, genuinely more useful than HWSD for site-specific analysis.

National soil survey data where it exists, the Federal Ministry of Agriculture’s soil survey work and university agricultural faculties (several Nigerian universities maintain their own soil survey archives from research projects) can offer far more locally accurate soil data than any global product, but access usually means direct institutional contact rather than a public download.

Rainfall and Climate Data

CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) — daily/monthly rainfall estimates blending satellite and station data, widely used across Africa where ground station coverage is sparse.

NASA POWER — solar and meteorological data including rainfall, temperature, and humidity, freely downloadable by coordinate point or area.

Nigerian Meteorological Agency (NiMet) — the authoritative national source for Nigerian rainfall and climate data, though direct public dataset access (as opposed to published seasonal forecasts and bulletins) is more limited than the satellite-derived alternatives above.

WorldClim — global climate surface data (rainfall, temperature) at high spatial resolution, more useful for long-term climate averages than short-term/current rainfall monitoring.

Buildings and Settlement Data

Microsoft Building Footprints — machine-learning-extracted building footprints derived from satellite/aerial imagery, covering large parts of the world including Nigeria, free to download by country in vector format.

Google Open Buildings — a similar AI-derived global building footprint dataset, with genuinely strong coverage across Africa specifically, since it was one of the regions the project prioritized.

GRID3 — settlement layers specifically built for Nigeria and other African countries as part of its demographic and infrastructure data, often more contextually verified than pure AI-extraction datasets for planning use.

OpenStreetMap — building footprints exist here too, though completeness varies significantly by area depending on how much local mapping activity has happened.

OpenStreetMap Data: The One Source Everyone Underuses

And openStreetMap deserves its own section because it’s simultaneously the most current and the most misunderstood free data source available. It’s a crowdsourced map, meaning quality varies by how much local mapping activity a given area has seen a well-mapped Lagos neighbourhood can have building-level detail, while a rural area three states over might have almost nothing beyond a single main road.

Geofabrik downloads — pre-packaged, regularly updated OSM extracts by continent and country, in shapefile and other GIS-ready formats. This is the fastest way to get a full country or regional OSM extract without running your own export query.

HOT Export Tool (Humanitarian OpenStreetMap Team) — lets you draw a custom area and export exactly the OSM feature categories you need (roads, buildings, waterways, points of interest), which is far more efficient than downloading an entire country extract for a single-LGA study.

Overpass Turbo — a more technical query tool for pulling very specific OSM feature types by tag, useful once you’re comfortable with OSM’s tagging structure.

If you’re mapping a Nigerian urban area and OSM coverage looks thin, that’s not a dead end it’s an opportunity. Anyone can contribute to OSM, and I’ve had students improve their own study area’s map coverage as part of their fieldwork, which then became a genuinely useful contribution other researchers later benefited from too.

Cadastral and Property Data — The Hardest Layer to Find, Explained Honestly

This is the layer almost every “GIS data sources” article either skips entirely or gets wrong, because cadastral (property/parcel boundary) data is fundamentally different from every other layer on this list: it is rarely open, rarely free, and rarely centralized anywhere in the world, not just in Nigeria.

In most countries, cadastral data is held and controlled by a land registry or survey authority because it has direct legal and revenue implications property taxation, land titling, and dispute resolution all depend on it. In Nigeria specifically:

State Ministries of Lands and/or Survey

are the primary custodians of cadastral records, land title information, and survey plans, but digitized, publicly accessible cadastral GIS layers are the exception rather than the norm across most states access typically requires a formal application, a stated purpose, and often a fee.

Office of the Surveyor General of the Federation (OSGOF)

Coordinates geodetic control and cadastral standards nationally, and is the reference point for correct survey datum and control point information, which you need regardless of which state’s cadastral data you’re working with.

Local Government land registries

Sometimes hold parcel-level records for informally surveyed or customary land that never made it into a state-level digital system at all this is a real and common gap, not a rare edge case, particularly for peri-urban and rapidly developing areas.

Private/commercial cadastral data providers

Exist and sell processed parcel data in some Nigerian cities, largely built from a combination of purchased survey records and imagery-based digitization, but quality and legal reliability vary and should be independently verified, never assumed.

The honest, practical answer for most people needing Nigerian cadastral data: you will very likely need to combine an official request to the relevant state Ministry of Lands/Survey, your own georeferenced survey plan if you have one for a specific property, and where formal data is incomplete careful manual digitization from high-resolution imagery, clearly documented as digitized rather than surveyed so anyone using your output understands its accuracy limitations.

Flood-Risk Data

JRC Global Flood Hazard Maps (European Commission’s Joint Research Centre) global flood hazard layers at different return periods, a reasonable starting point for regional flood risk screening.

FEMA Flood Maps (US-specific) — the National Flood Hazard Layer, authoritative for US flood insurance and planning work.

HDX — carries humanitarian-response flood extent and risk data for numerous Nigerian states, particularly those that have experienced significant flood events in recent years, often more current than global hazard models for a specific past event.

Derived flood modelling from DEM and rainfall data — where no ready-made flood layer exists for your exact study area, combining elevation (slope, low-lying zones) with rainfall intensity data is the standard practitioner workaround, though it requires proper hydrological modelling skill to do credibly rather than just visual guesswork.

Planning and Zoning Data

This is the layer that is almost entirely non-global by nature, because zoning is a local legal instrument, not a physical or satellite-derived one.

State Ministries of Physical Planning/Urban Development hold the approved master plans, layout plans, and zoning designations for Nigerian cities and states this is genuinely the only authoritative source, and public digital access varies enormously by state, from reasonably accessible to essentially request-only.

Local planning authority offices often hold more granular, scheme-specific layout and zoning detail than the state level, particularly for approved private estate layouts.

University planning department archives and past consultancy reports are a frequently overlooked practical source many Nigerian cities have had master plans or structure plans prepared as academic or donor-funded projects that are more accessible through institutional channels than through the government office that formally holds the current version.

Global vs. Nigerian GIS Data: A Practical Comparison

Global datasets (Natural Earth, GADM, WorldPop, ESA WorldCover, HDX) give you consistent methodology and near-immediate access, which makes them excellent for regional or comparative analysis, and often the only realistic option when a country-specific source simply doesn’t publish digitally. Their weakness is resolution and local accuracy a global boundary or land-cover dataset was never built with Nigerian ward-level administrative nuance or fine-grained local land-use categories in mind.

Nigerian-specific sources (GRID3/NASRDA, Nigeria GeoPortal, NBS, state Ministries of Lands and Physical Planning, OSGOF) give you the local authority and legal standing that global data can’t, but availability is genuinely inconsistent some datasets are excellent and current, others exist only as a PDF map scanned from a 1990s survey, and which is true depends entirely on the specific state and dataset you need. The practical approach I actually use: start with global data to build your base map and confirm study area extent, then layer in Nigerian-specific sources for anything requiring administrative or legal authority, and treat any mismatch between the two as a flag to investigate rather than something to silently average out.

Free vs. Paid GIS Data: When Free Actually Isn’t Enough

Free data covers the majority of academic, planning-concept, and regional-analysis needs. You should consider paid data when:

You need sub-meter resolution imagery to identify individual structures or property boundaries precisely
You need guaranteed recent imagery of a specific date (free sources may have cloud cover or outdated captures for your exact area and time)
You need cadastral/parcel data with clear legal chain-of-title backing, which essentially never exists as free open data anywhere
Your project has a commercial or legal deliverable where data provenance and licensing terms must be defensible, not just “found online”

Commercial providers worth knowing (Maxar, Airbus, Planet Labs for imagery; state-licensed survey firms for cadastral data) exist precisely to fill these gaps, and for professional consultancy work as opposed to a student project budgeting for at least one paid data layer is often the difference between a defensible report and a decorative map.

How to Check Whether GIS Data Is Accurate and Current — The Step Almost Nobody Does

This is, honestly, the most important section in this entire article, because I have reviewed more student and even professional GIS outputs than I can count that were built on data nobody bothered to verify.

Check the metadata date, not just the download date.

A dataset you download today might represent conditions from five years ago. Every credible source publishes a data vintage or last-updated date find it before you trust the layer.

Cross-check against a second independent source.

If your road network from OpenStreetMap and your road network from a state Ministry both show the same major roads in roughly the same place, you have reasonable confidence. If they diverge significantly, investigate rather than pick whichever one looks nicer.

Compare against current satellite imagery visually.

Overlay your boundary, road, or building layer on the most recent Sentinel-2 or Landsat imagery you can get and eyeball it. A river that no longer follows its mapped course, or a road that’s clearly been rerouted, will show up immediately this way.

Understand the data’s stated methodology, not just its output.

A “population” layer that’s a gridded satellite-derived estimate (like WorldPop) carries different accuracy assumptions than one that’s a direct census count. Know which one you’re using before you present it as fact.

Never present digitized or estimated data as if it were surveyed.

If you hand-digitized a boundary from imagery because no official layer existed, say so in your documentation. This isn’t just academic honesty in planning and legal contexts, that distinction genuinely matters to anyone relying on your output later.

The single most common professional embarrassment I’ve seen in Nigerian GIS work isn’t bad analysis it’s presenting outdated or unverified boundary and population data as current fact to a client or government office that then discovers the discrepancy themselves. Always state your data’s source and vintage directly on any map or report you produce, not buried in an appendix.

A Layer Most Articles Never Mention: Geodetic Control and Datum Consistency

Almost every “GIS data sources” article online stops at the layers listed above and never mentions the one thing that quietly breaks more Nigerian GIS projects than any missing dataset: coordinate system and datum mismatches. Nigeria historically used the Minna Datum (based on the Clarke 1880 ellipsoid) for most survey work, while most free global datasets you’ll download are in WGS84. These are not interchangeable without a proper transformation, and the shift between them in Nigeria is large enough (tens of metres) to genuinely misplace a property boundary or road centerline if you simply assume they match. Before combining a downloaded global dataset with a Nigerian survey-based layer, confirm both datasets’ coordinate reference system explicitly, and apply the correct transformation rather than assuming your GIS software has silently handled it correctly for you. OSGOF remains the reference authority for Nigeria’s official geodetic control network and datum standards, and is the right point of call when a project genuinely requires survey-grade positional accuracy rather than analysis-grade approximation.

Frequently Asked Questions

Where can I get free GIS data for Nigeria specifically?

GRID3 (now managed by NASRDA), the Nigeria GeoPortal, the Humanitarian Data Exchange, OpenStreetMap via Geofabrik or the HOT Export Tool, and the National Bureau of Statistics are the strongest starting points, with state-level Ministries of Lands and Physical Planning as the authoritative source for anything zoning or cadastral related.

Why can’t I find cadastral or property boundary data as a free download anywhere?

Because cadastral data has direct legal and revenue implications almost everywhere in the world, not just Nigeria, it is held by land registries and survey authorities rather than published as open data. Access typically requires a formal request to the relevant state Ministry of Lands/Survey or OSGOF.

Is OpenStreetMap data reliable enough for professional planning work?

It depends entirely on how well-mapped your specific study area is. Well-mapped urban areas can rival official data in detail and currency; under-mapped rural areas may have almost nothing. Always visually verify OSM coverage for your exact study area before relying on it.

What’s the difference between land-use data and land-cover data?

Land cover describes the physical surface (forest, water, built-up area) and is usually derived from satellite imagery classification. Land use describes the human activity or zoning designation on that land, which typically requires local planning authority data rather than imagery alone.

Do I need paid satellite imagery, or is free imagery good enough?

Free imagery (Landsat, Sentinel-2) is genuinely sufficient for regional land-cover and change-detection work. If you need to identify individual buildings, property lines, or a guaranteed recent capture date for a specific small area, you likely need paid high-resolution commercial imagery instead.

Finally

The frustrating truth about GIS data Nigerian or global is that there is no single portal where all of this lives neatly organized and ready to download. Anyone telling you otherwise hasn’t actually tried to build a real project with it. What you have instead is a set of specialized sources, each strong for specific layers and specific areas, and the actual skill worth building is knowing which source to check first for which layer, and how to verify what you’ve found before you build a report, a design, or a decision on top of it.

If you’re working on a planning, layout, or design project and need this kind of spatial groundwork done properly rather than pieced together from a Google search, our Services page outlines how we support that kind of work. If you’re a student or newer practitioner building this skill, visit Plan School for more practical planning and GIS-adjacent guidance, and browse our Plans Library if your project needs to move from spatial analysis into an actual buildable design. You can also explore more planning and GIS-focused articles on our Homepage.

Author

Massodih Okon is a Nigerian built-environment professional with academic and professional experience in urban and regional planning, geography, architectural design, Landscape Design, GIS and land development.

He holds a Master’s degree in Urban and Regional Planning from the University of Uyo and a first degree in Geography and Regional Planning.

Through MassodihPlans, he publishes practical guides on Nigerian house plans, building design, physical planning, site planning, development approval and residential construction. Read the full author profile →

About The Author

Massodih Okon

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Where Can I Get GIS Data for Land Use, Property Mapping and Urban Planning?