Ghana's commuting zones — the areas within which people actually travel to work, derived from aggregated movement data rather than from administrative lines. Labour market catchments for siting, staffing and service planning. Sourced from Data for Good at Meta, via HDX (CC BY 4.0). 13 records.
Every column this dataset returns, with its type. This is the shape of the API response.
| Field | Type |
|---|---|
| region | TEXT |
| fbcz_id | TEXT |
| name | TEXT |
| fbcz_id_num | INTEGER |
| cz_gen_ds | TEXT |
| win_population | DECIMAL(24,6) |
| win_roads_km | DECIMAL(24,6) |
| area | DECIMAL(24,6) |
| geography | TEXT |
| source | TEXT |
| regionTEXT | fbcz idTEXT | nameTEXT | fbcz id numINTEGER | cz gen dsTEXT | win populationDECIMAL(24,6) | win roads kmDECIMAL(24,6) | areaDECIMAL(24,6) | geographyTEXT | sourceTEXT |
|---|---|---|---|---|---|---|---|---|---|
| Africa | Africa239 | accra | 500239 | 3/5/23 | 4442659.362 | 33354.30811 | 3913.03997 | POLYGON ((-0.4336876378092644 5.447247253689402, -0.43548 5.449362, -0.590992 5.471984, -0.58179 5.689846, -0.528067 5.719544, -0.502713 5.877691, -0.321457 5.960729, -0.290908 5.950978, -0.212208 5.97594, -0.138563 6.077617, 0.058333 5.979167, 0.079772 5.944328, 0.179763 5.900057, 0.333021 5.892989, 0.358016 5.851874, 0.3678754397795177 5.786450949000742, 0.327213 5.783024, 0.314358 5.781334, 0.301195 5.778055, 0.277277 5.773676, 0.248646 5.764713, 0.245676 5.760002, 0.238607 5.755827, 0.220297 5.748426, 0.21958 5.746839, 0.203703 5.745148, 0.184599 5.744381, 0.181448 5.740871, 0.17264 5.738695, 0.163547 5.732113, 0.147619 5.727247, 0.135942 5.72077, 0.128643 5.709681, 0.126083 5.707939, 0.105877 5.701998, 0.080549 5.697874, 0.0724928862145983 5.695044429856332, 0.066433 5.692916, 0.060472 5.685532, 0.045492 5.676056, 0.0452122971019824 5.675195408011056, 0.040831 5.661715, 0.03302 5.657642, 0.028421 5.651686, 0.027811 5.646325, 0.018302 5.642631, 0.019842 5.636418, 0.01618 5.626, 0.010629 5.622049, 0.002556 5.62486, -0.009159 5.621777, -0.014723 5.618025, -0.029165 5.613362, -0.0382068079611669 5.611959631287421, -0.047534 5.610513, -0.060595 5.606256, -0.063017 5.598896, -0.066718 5.598073, -0.073253 5.589838, -0.094094 5.583067, -0.101953 5.575395, -0.115075 5.570673, -0.122986 5.566049, -0.14584341186055 5.5599741801515865, -0.151172 5.558558, -0.162863 5.553146, -0.181051 5.548098, -0.183551 5.545911, -0.201092 5.542626, -0.208784 5.53772, -0.209686 5.532816, -0.235516 5.526148, -0.254211 5.523006, -0.2811376366764401 5.517680455588134, -0.288532 5.516218, -0.333546 5.50563, -0.36124 5.497171, -0.368864 5.493589, -0.372095 5.489359, -0.401485 5.476833, -0.406469 5.472145, -0.406973 5.465546, -0.41387 5.457859, -0.424267 5.450657, -0.4336876378092644 5.447247253689402)) | Data for Good at Meta, via HDX (CC BY 4.0) |
| Africa | Africa237 | sunyani | 500237 | 3/5/23 | 4249794.79 | 250871.6945 | 63952.67328 | POLYGON ((-2.142305 5.932706, -2.428941 6.017861, -2.624125 5.99386, -2.627706 5.996821, -3.065927 6.060787, -3.123128 6.317321, -2.873415 6.610413, -2.892725 6.717623, -2.939244 6.854943, -3.321429 6.91109, -3.580768 7.097988, -3.599221 7.267141, -3.55948 7.46541, -3.994905 7.752725, -4.114477 7.936832, -3.940113 8.293243, -3.994193 8.878772, -3.938742 8.969394, -3.537132 9.034323, -2.950447 8.694485, -2.903341 8.615035, -2.72473 8.559509, -2.123018 8.643809, -1.96281 8.547684, -1.547016 8.587922, -1.245072 8.528447, -1.203017 8.259297, -1.385864 7.812335, -1.375933 7.774188, -1.608197 7.32759, -1.737309 7.257883, -1.747806 7.168651, -1.757555 7.155461, -1.938591 6.793679, -1.949319 6.73825, -1.999699 6.655119, -1.973339 6.560679, -2.011384 6.343285, -2.003857 6.311461, -2.002952 6.19893, -2.114063 5.936356, -2.142305 5.932706)) | Data for Good at Meta, via HDX (CC BY 4.0) |
| Africa | Africa236 | sogakope | 500236 | 3/5/23 | 2220573.655 | 27488.87407 | 5492.718441 | POLYGON ((0.723692 5.770489, 0.692293 5.771448, 0.673292 5.776648, 0.669962 5.7715, 0.66251 5.770502, 0.645403 5.772806, 0.603609 5.777109, 0.561253 5.780771, 0.537283 5.781948, 0.507807 5.785585, 0.474771 5.787428, 0.470034 5.788248, 0.44463 5.789196, 0.419739 5.78899, 0.379789 5.787455, 0.3678754397795177 5.786450949000742, 0.358016 5.851874, 0.333021 5.892989, 0.405545 6.231435, 0.454664 6.282518, 0.556076 6.305054, 0.749047 6.438138, 0.838745 6.568484, 0.866809 6.592304, 1.156979 6.274702, 1.158821 6.274586, 1.211698720329525 6.116940603974119, 1.199528 6.11252, 1.164898 6.097858, 1.155176 6.092754, 1.146826 6.09013, 1.139339 6.085066, 1.1300696711679104 6.080105353658332, 1.123785 6.076742, 1.097902 6.05929, 1.081472 6.046551, 1.067722 6.031616, 1.053366 6.01391, 1.036285 5.989914, 1.024469 5.972313, 1.0114054339852445 5.954222991045064, 1.002804 5.942312, 0.994324 5.927767, 0.993013 5.916582, 0.995537 5.897888, 0.993864 5.877266, 0.987991 5.857952, 0.980969 5.841818, 0.969564 5.82486, 0.9534895096539864 5.808221279826142, 0.94569 5.800148, 0.934313 5.791693, 0.925699 5.787472, 0.918032 5.785482, 0.891272 5.78183, 0.852707 5.777948, 0.801464 5.771616, 0.780539 5.771919, 0.7671724594902901 5.770903692917207, 0.76586 5.770804, 0.73085 5.771507, 0.723692 5.770489)) | Data for Good at Meta, via HDX (CC BY 4.0) |
| Africa | Africa553 | bolgatanga | 500553 | 3/5/23 | 1000381.991 | 112137.2031 | 15597.34502 | POLYGON ((-1.628211 9.819125, -1.698803 9.828293, -1.835834 10.396078, -1.673061 10.635244, -1.583015 11.074415, -1.600423 11.124442, -1.397112 11.458611, -0.893833 11.385305, -0.887313 11.124102, -0.857098 11.047714, -0.608759 10.910582, -0.489187 10.965916, -0.392785 10.92001, -0.371979 10.909345, -0.22995 10.660732, -0.635219 10.561454, -0.659989 10.587349, -1.043159 10.542145, -1.127522 10.002012, -1.412388 9.876678, -1.628211 9.819125)) | Data for Good at Meta, via HDX (CC BY 4.0) |
| Africa | Africa234 | koforidua | 500234 | 3/5/23 | 2212613.404 | 40519.93364 | 13842.41883 | POLYGON ((-1.133332 5.774422, -1.268697 5.961641, -1.171202 6.145018, -1.141954 6.210267, -1.137294 6.26929, -1.057091 6.326936, -1.065599 6.646948, -0.845489 6.8607, -0.749215 7.245094, -0.49446 7.322128, -0.313262 7.221057, -0.250557 7.058335, -0.238287 7.025, -0.199421 6.902091, -0.210281 6.830387, -0.120242 6.551788, -0.168963 6.311486, -0.163986 6.2866, -0.141787 6.252818, -0.138563 6.077617, -0.212208 5.97594, -0.290908 5.950978, -0.321457 5.960729, -0.502713 5.877691, -0.610163 6.017382, -0.637518 6.02802, -0.825 5.891667, -0.837806 5.810565, -0.843847 5.808335, -0.930231 5.808335, -1.133332 5.774422)) | Data for Good at Meta, via HDX (CC BY 4.0) |
8 more rows — see the plans
See the plansGET connect.apighana.com/api/data/commuting_zones
Cite this dataset and the organisation its records come from (Data for Good at Meta, via HDX). Datasets are updated, so keep the date you accessed it in the citation. Last updated from the source on Sep 18, 2026.
API Ghana. (2026). Commuting zones (Version 1.0) [Data set, compiled from Data for Good at Meta, via HDX]. Retrieved October 1, 2026, from https://apighana.com/datasets/commuting-zones
curl "https://connect.apighana.com/api/data/commuting_zones?page=1&limit=20" \ -H "X-API-Key: $APIGHANA_KEY"
const response = await fetch(
"https://connect.apighana.com/api/data/commuting_zones?page=1&limit=20",
{ headers: { "X-API-Key": process.env.APIGHANA_KEY } },
);
const { data, meta } = await response.json();import os, requests
response = requests.get(
"https://connect.apighana.com/api/data/commuting_zones",
headers={"X-API-Key": os.environ["APIGHANA_KEY"]},
params={"page": 1, "limit": 20},
)
rows = response.json()["data"]