Coverage intelligence for NGOs and planners

See who you're missing, and where to act next.

We deliver district-level coverage briefs that show which communities are underserved, where to prioritise, and what impact an intervention could have — ready for your next proposal, planning meeting, or donor report.

No GIS skills needed. No data wrangling. Just tell us your district and sector.
Coverage briefs Intervention planning Donor-ready reports Before-vs-after scenarios
Population coverage 62%
Covered population 130k
Uncovered population 80k
Powered by trusted open data
WorldPop · UN population grid OCHA COD-AB · admin boundaries OpenStreetMap · infrastructure HDX · humanitarian data exchange

Most organisations don’t know their true coverage

You may have data on facilities, services, or project sites, but it’s still difficult to answer the questions that matter most for planning and funding.

1
Who is actually being reached?
Teams often have facility lists but not a clear view of which population groups fall within service reach.
2
Which communities are underserved?
Static maps and spreadsheets make it hard to identify high-need areas with confidence.
3
Where should limited resources go next?
Without a consistent, data-backed way to prioritise, interventions can miss the people who need them most.

A simple way to measure and improve service coverage

ReachIQ combines infrastructure locations, population data, and administrative boundaries to turn raw data into practical planning insights.

01

Measure current coverage

See which communities fall within reach of your current services and which remain outside access.

02

Prioritise underserved areas

Identify districts or wards with the highest unmet need using consistent geographic analysis.

03

Test interventions before acting

Simulate repairs, new sites, or outreach scenarios to estimate how many more people could be reached.

Built for real-world decisions, not just maps

ReachIQ supports ongoing planning, reporting, and funding justification across multiple sectors.

Coverage analysis

Understand how many people your current network of clinics, boreholes, schools, or sanitation sites actually reaches.

Targeting underserved communities

Find wards or service areas where unmet need is highest so teams can focus resources where they matter most.

Intervention planning

Model new sites, mobile services, or repairs to understand which actions could produce the greatest gain in coverage.

Donor reporting

Generate clear, data-backed outputs that help explain current gaps, expected impact, and priority locations.

+40k
Additional people potentially reached in a simulated scenario
62% → 81%
Example population coverage improvement after intervention
3
Priority wards surfaced automatically for decision support

How an NGO used ReachIQ to redirect mobile clinics

A realistic scenario showing how a health programme team identifies underserved communities and builds evidence for a funding proposal in under 30 minutes.

Before: scattered service delivery

A regional health programme knew some clinics were underperforming, but could not quantify exactly which communities were out of reach. Proposals relied on anecdotal evidence and outdated maps.

  • 62% estimated population coverage
  • ~80,000 people outside clinic reach
  • 3 wards with zero functional health facilities

After: evidence-based reallocation

With a ReachIQ district brief, the team identified the 3 highest-priority wards, simulated adding a mobile clinic route, and attached the branded report to their next donor submission.

  • 81% projected coverage after one intervention
  • ~40,000 additional people within service reach
  • Donor-ready PDF attached to the proposal in 10 minutes

Built to work alongside your GIS team, not replace it

ReachIQ handles the repetitive coverage analysis so your GIS Specialists can focus on the work that actually needs their expertise.

QGIS / ArcGIS

Powerful, but every analysis is a custom project. Buffer analysis, raster zonal stats, ward-level joins, cartography — each one takes hours of analyst time.

⏱ 1–3 days per district, every time

Google Maps / Earth

Great for visualising locations, but cannot estimate population coverage, rank wards by need, or model intervention scenarios.

❌ No population analysis or decision support

ReachIQ

Pre-configured for the analysis planning teams actually need: coverage gaps, ward rankings, scenario modelling, and branded reports — delivered, not self-serve.

✅ District brief delivered in 48 hours

See the impact in seconds

Move from static facility lists to clear coverage results, recommended intervention areas, and before-vs-after scenarios.

"We attached the ReachIQ brief to our concept note, the donor immediately understood why we needed a mobile clinic in those 3 wards. It turned a vague request into a data-backed case."
— Illustrative scenario based on real-world programme workflows

More than infrastructure planning

ReachIQ is useful anywhere where coverage matters, from permanent facilities to mobile and outreach services.

Health services

Clinics, outreach points, vaccination sites, and service access analysis.

Water and sanitation

Boreholes, water points, latrines, and service gap identification.

Education and social services

School access, community services, and priority targeting for underserved areas.

How it works

A simple workflow designed for planning teams, M&E teams, and programme staff.

1
Select your area and service type
Choose the district, sector, site type, and service radius you want to analyse.
2
Review current coverage
ReachIQ estimates population coverage and highlights the communities still outside access.
3
Prioritise and simulate
Identify top recommended wards and test what different interventions could achieve.

Start with a coverage brief, not a subscription

We deliver district coverage briefs you can plug directly into proposals, planning meetings, and donor reports — not a login to figure out on your own. Start with a single district, then scale as needed.

Standard district analysis

$250
per district · one sector
  • Full coverage analysis for one district and one sector (health, water, sanitation, etc.)
  • Interactive map with ward-level coverage breakdown
  • Priority ward recommendations with population estimates
  • Branded, print-ready PDF report for donors and partners
  • Coverage data exports (CSV, GeoJSON) for your GIS or M&E team
  • 30-day access to the interactive analysis tool
  • Email support and a short orientation walkthrough
Ideal for: Testing ReachIQ on one priority district, adding evidence to a concept note, or preparing for a field visit.

Project package

$1,500 – $4,000
flat fee per project
  • 5 to 15 district analyses across one country
  • Access for up to 5 named users for 6 months
  • All Extended features included for every district
  • Custom branding on all outputs (logo, org name, programme title)
  • 1-hour onboarding call + email support throughout
  • Optional: custom layer import (your shapefiles, we preprocess)
  • Can be billed as "technical assistance" on a grant budget line
Ideal for: Country programmes, multi-district WASH or health projects, or consultancies needing coverage evidence across several areas.
What you're paying for: a ready-to-use district coverage brief — with maps, ward rankings, population estimates, and a branded report — not a raw software licence. Every analysis is configured for your specific district, sector, and planning question. If the numbers clearly don't line up with your expectations on the first district, we'll re-run or refund the credit.

This isn't just about building new sites. ReachIQ is equally useful for planning repairs to non-functional facilities, positioning mobile clinics or water bowsers, scheduling outreach visits, or understanding where existing services are seasonal and need reinforcement.

Get your first coverage brief for free

Send us your district and sector. We'll deliver a sample analysis with coverage gaps, priority wards, and a branded report so you can see exactly what you would get before committing a single dollar.