People living near chemical plants
How many people live within 2 km of each chemical plant and power station.
What it does
Every year: chemical plants and power stations in your region with how many people live within 2 km of each, the most exposed first, for the environmental health report.
In one sentence: Monthly on the 1st at 08:00, in Shanghai, find chemical plants, power stations and oil refineries in the area, count who lives around, sort them by population and keep the top 15, write a report with xMap AI, then email the list to you.
Why it is useful
Environmental health starts with who is exposed. This shows which industrial sites have the most people around them.
Who it is for
Environment, climate & sustainability. Sustainability teams, environmental consultancies, recyclers and city climate offices who need facts about places to act on. Every use case for environment & climate
Best use cases
- An environmental health agency
- An environmental NGO
- A researcher
What each run gives you
- An email
The time it saves
Monthly on the 1st at 08:00. Doing the same work by hand takes about 180 minutes each time, so it saves about 3 hours a month (an estimate). It is medium: 7 blocks.
The flow, block by block
- On the 1st of every monthTrigger · ScheduleStarts the flow on a timetable.
- My regionWhere · Area of interestSets where the flow looks: countries, cities or specific places, or areas you draw on a map.
- Industrial sitesxMap data · Nearby placesPlaces around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.
- Who lives aroundxMap data · DemographicsWho lives in an area: the number of residents, men and women, and nine age groups, from xMap’s population grid (hexagons of about 0.1 km², about 100 countries).
- Best 15 firstLogic · Sort and limitPuts the items in order, and can keep only the first ones: the 10 best rated, the 20 nearest, the highest fit scores.
- Write the exposure notexMap AI · xMap LLMTell the AI what to do in plain words.
- Email me the listAction · EmailSends one email per run with all the items, or one email per item.
Every block can be changed after you use the template: the city, the type of place, the score, where the results go.
Use it now
Answer a few questions, enter your work email, and it runs in your own account, kept running until you pause it. Use this template.
How to set it up
- Build your first flow in ten minutes: From a blank page to a flow that emails you a ranked list every morning.
- Ask the map a question: How many of a kind of place, how many people for each, and where the gaps are, answered on the spot.
- Count what is around each of your places: Competitors, footfall magnets or services within a distance of each site.
- Compare sites side by side: Two or three spots measured the same way, one column each, the best of every row marked and the best site and why.
- Location intelligence: Using where things are, and what is around them, to make business decisions.
- Site selection: Choosing where to open a store, branch, clinic or facility.
- Satellite imagery (Sentinel-2): Regular free pictures of the Earth from space.
More for Environment, climate & sustainability
- Where to plant trees first: many people, few parks: The blocks with many people and few parks, where trees matter most.
- Busy shopping places with the fewest EV chargers: Busy shopping places with the fewest EV chargers, scored as charger sites.
- People per recycling centre, block by block: The blocks furthest from a recycling centre, for the recycling plan.
- Companies hiring sustainability managers, for ESG advisory: Companies hiring for ESG, with the sustainability lead, every Monday.
- Energy-hungry buildings for energy audits: Big energy users with their facility manager, approved for audits.
- Busy restaurants for food waste collection: The busiest kitchens graded as food waste collection clients.