Data delivery & integration

Our data, wherever your team works.

Not everyone who needs location insight uses GIS software. Here is how we deliver GeoIQ data into the tools your analysts, managers, developers and decision makers already use.

Map — GeoIQ layers LAYERS Population Boundaries Roads Income Buildings LowHigh Ward 011Pop. 18,452
01For GIS analysts

GIS software & raw datasets

We supply our datasets as raw, analysis-ready files in the geospatial format your team prefers, so they load straight into ArcGIS, QGIS, MapInfo or your cloud data platform.

Every dataset shares the same geography and IDs, so layers line up as soon as you add them, with no cleaning or re-projecting needed.

  • Raw datasets in all common geospatial formats
  • MapInfo TAB files, Esri file geodatabases and shapefiles
  • GeoParquet and Parquet for cloud and big-data workflows
  • Consistent IDs and full documentation with every delivery
GeoPackageFile geodatabaseShapefileMapInfo TABGeoParquetParquetGeoJSONCSV
Market dashboard POPULATION2.4M AVG INCOMER18.2k GROWTH+3.1% POPULATION BY WARD INCOME MIX 45%
02For managers

Dashboards

We help you turn GeoIQ data into dashboards your managers can use every day, without needing GIS skills.

We can build interactive HTML dashboards and Power BI dashboards on our data, and advise you on choosing and setting up other dashboard packages so the data fits the tools you already have.

  • Interactive HTML dashboard pages
  • Power BI dashboards and data models built on GeoIQ data
  • Advice on Tableau, Looker Studio, Qlik and other dashboard packages
  • Data prepared in the shape your dashboard tool needs
HTMLPower BITableauLooker StudioQlik
ward_population.xlsx fx =SUMIFS(B:B, D:D, "Class 7") ABCD 12345678 WardPopulationAvg incomeNLI class WC01118,452R 21,300Class 7 WC01212,108R 14,950Class 4 WC01321,774R 32,800Class 9 WC0149,035R 11,200Class 3 WC01515,880R 19,750Class 7 WC01610,946R 16,400Class 5 Class 734,332
03For business analysts

Excel

Not everyone works in GIS. We provide Excel workbooks with the raw data for your areas, ready to sort, filter and pivot.

We also build Excel dashboards with summaries, charts and lookups, so your team can understand and analyse the data in a tool they already know.

  • Raw data in Excel workbooks
  • Excel dashboards with summaries and charts
  • Lookups by ward, suburb or your own areas
  • Works in Excel and other spreadsheet tools
XLSXCSVExcel dashboards
income_analysis.ipynb In [1]:In [2]:Out[2]: import geopandas as gpd df = gpd.read_parquet("geoiq_income.parquet") df.plot(column="income", cmap="Oranges") 50k5k
04For data scientists

Python, R and SQL databases

We provide the raw data ready to import into Python, R and Jupyter notebook workflows, so your data scientists can start modelling straight away.

Prefer to work in a database? We load the data straight into SQL Server, DuckDB or PostgreSQL (with PostGIS), so your analysts can query, join and filter it with plain SQL alongside your own tables.

Our API services summarise data for any area and extract just the records you need, quickly and efficiently, so you don’t have to download and process whole datasets.

  • Raw data ready for pandas, GeoPandas, R (sf, tidyverse) and other analytical libraries
  • Ready-to-load tables for SQL Server, DuckDB and PostgreSQL / PostGIS
  • API services that summarise data for any area
  • Fast, efficient extraction of only the data you need
  • Parquet files for large, fast-loading datasets
PythonJupyterpandasGeoPandasRSQL ServerDuckDBPostgreSQLParquetREST API
api — integration $ GET /v1/wards/WC011/population 200 OK · 42 ms { "ward": "WC011", "population": 18452, "growth": 0.031 } Your app GeoIQ API CRM ERP
05For developers

API & system integration

Our API services integrate GeoIQ data directly into your own systems, so every application works from the same picture of the world.

For example, insurers can add fire, flood and weather risk to policies at quote time, banks can bring area affluence into credit and branch decisions, and telecoms operators can feed demand data into network planning.

  • REST API for queries by location or area
  • Integration into CRM, ERP and core business systems
  • Single lookups or bulk requests
  • Secure access with API keys
InsuranceBankingTelecomsREST APIJSON
spend_model.sas 12345678910 /* GeoIQ income by ward */ proc sql; create table wards as select * from geoiq.income where nli_class >= 7; quit; proc reg data=wards; model spend = income pop; run; NOTE: 1,284 rows read. R² = 0.82 Fit plot for spend IncomeSpend
06For statisticians

SAS & statistical software

We deliver clean, ready-to-load tables for SAS, R, SPSS and Stata, with consistent IDs and documented fields so location data joins your existing models without extra preparation.

Add area-level population, income, credit and risk variables to scoring, forecasting, segmentation and risk models, and use our consistent geography to compare results across areas and over time.

  • Tables that load directly into SAS, SPSS, Stata and R
  • Area-level variables ready for modelling
  • Data dictionaries for every field
  • Statistical support from our specialists, including survey design and weighting
SASRSPSSStataCSV
SITE REPORT Proposed site · 5 km catchment Population412 800 Income (NLI®)Class 8 Growth+3.1% a year Age profile Enter an address PDF report Ready to share
07For decision makers

Site reports

Site reports give you pre-summarised statistics for any location, such as an existing store, a proposed site or a client address, in an easy-to-read report.

You can also choose exactly which datasets you want included, so each report answers your specific question. No GIS software needed.

  • Summaries and statistics per location
  • Choose the datasets you want on the report
  • Catchment areas around each site
  • Delivered as PDF, ready to share
PDFAny locationCustom datasets
AI assistant · connected to GeoIQ data Where should we open our next store? ▸ geoiq.query(population, nli, growth) ✓ 1,284 wards Top wards by growth and spending power (NLI 7+): Ward 115 · Cape Town Ward 64 · Tshwane Ward 23 · eThekwini +6.1%+5.4%+4.7% Sources: GeoIQ Population figures 2026, Income (NLI®) Ask about your data…
08For AI & data science

AI-ready data

Our documentation describes every dataset, field and code in plain language, so large language models working in suitable coding environments, such as OpenAI Codex or Claude Code, can understand the data.

This lets you ask questions in natural language. The AI tool builds the queries and runs the analysis for you automatically.

  • Consistent IDs and schemas across every product
  • Documentation that AI tools can read and understand
  • Works with AI coding tools such as Codex and Claude Code
  • Natural-language queries and automated analysis
LLMsAI agentsCodexClaude CodeML pipelines

Not sure which option suits your team?

Tell us how your team works and we'll recommend the right format, tool or service, with a sample for your area.

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