Download outline map of Morogoro (geojson format) :
Morogoro.geojson (**)
Download polygon array of Morogoro map for "Google Maps" :
Morogoro.txt
Bounding Box for Morogoro Map : ( -7.914814 , 37.137221 , -6.188492 , 38.515742 )
Wikipedia ID for Morogoro : Q3710547
Wikipedia SPARQL Query for Morogoro (population,elevation,area,lat,long, postal code,licence plate) :
SELECT ?population ?elevation ?area ?latitude ?longitude ?postal_code ?license_plate
WHERE {
OPTIONAL { wd:Q3710547 wdt:P1082 ?population. }
OPTIONAL { wd:Q3710547 wdt:P2044 ?elevation. }
OPTIONAL { wd:Q3710547 wdt:P2046 ?area. }
OPTIONAL { wd:Q3710547 wdt:P281 ?postal_code. }
OPTIONAL { wd:Q3710547 wdt:P395 ?license_plate. }
OPTIONAL {
wd:Q3710547 p:P625 ?coordinate.
?coordinate psv:P625 ?coordinate_node.
?coordinate_node wikibase:geoLatitude ?latitude.
?coordinate_node wikibase:geoLongitude ?longitude.
}
}
Run this SPARQL Query on Wikidata Page (Click RUN button on the opened page!)
Run this Query with SPARQL API
Get Boundaries from overpass-turbo (OSM) with boundary box of Morogoro map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-7.914814, 37.137221, -6.188492, 38.515742);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Morogoro)
[out:json];
(
rel["name"="Morogoro"][type=boundary];
rel["name:en"="Morogoro"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Morogoro
Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
Bamba | -7.211320 , 37.740900 |
Bungu | -7.200000 , 37.783330 |
Bwakira Chini | -7.400840 , 37.760400 |
Bwakira Juu | -7.295910 , 37.702170 |
Dakawa | -7.416370 , 37.686530 |
Dutumi | -7.388530 , 37.816630 |
Kasanga | -7.200000 , 37.716670 |
Kibadagi | -7.213850 , 37.797040 |
Kibembawe | -7.366670 , 37.566670 |
Kidanagwa | -7.174380 , 37.784540 |
Kidugallo | -6.783330 , 38.200000 |
Kilengezi | -7.278040 , 37.852280 |
Kimero | -7.201130 , 37.878790 |
Kingalamila | -7.232450 , 37.655280 |
Kingolwira | -6.786420 , 37.762840 |
Kinole | -6.900000 , 37.766670 |
Kinonko | -6.733330 , 38.016670 |
Kiroka | -6.831370 , 37.788080 |
Kiroka | -6.833330 , 37.816670 |
Kisaki | -7.461500 , 37.614910 |
Kisanga | -7.436220 , 37.703370 |
Kissio | -6.966670 , 38.250000 |
Kitomondo | -7.179360 , 37.849310 |
Kiungule | -7.202060 , 37.712980 |
Kiwisa | -6.566670 , 37.950000 |
Kiziwa | -6.866670 , 37.850000 |
Kolero | -7.250000 , 37.800000 |
Koloni | -7.157860 , 37.775840 |
Kumba | -7.211020 , 37.672960 |
Kwaba | -7.000000 , 38.283330 |
Luhungiro | -7.207280 , 37.752850 |
Lukangazi | -6.833330 , 37.900000 |
Lukosi | -6.833330 , 38.166670 |
Lumba Chini | -7.266670 , 37.600000 |
Madamu | -6.916670 , 37.816670 |
Magogoni | -7.226770 , 37.987540 |
Makanga | -7.270150 , 38.217870 |
Mangulubwida | -6.916670 , 37.833330 |
Marendele | -7.136190 , 37.764960 |
Matombo | -7.055050 , 37.763540 |
Matuli | -6.916670 , 38.216670 |
Matuli-Lamba-Gongoni | -6.912970 , 38.172510 |
Mbagalala | -7.050000 , 37.800000 |
Mfumbwe | -6.883330 , 37.816670 |
Mikese | -6.766670 , 37.900000 |
Miunguni | -7.007860 , 37.772200 |
Mkoya | -7.207140 , 37.781820 |
Mkulazi | -7.144530 , 38.225260 |
Mkuyuni | -6.950000 , 37.800000 |
Mngazi | -7.419670 , 37.676590 |
Mombani | -7.170410 , 37.768880 |
Msigisi | -6.583330 , 37.933330 |
Msumbisi | -6.883330 , 37.850000 |
Mtamba | -7.079480 , 37.778090 |
Mtego wa Simba | -6.766670 , 37.816670 |
Mtombozi | -7.099470 , 37.810400 |
Mvuha | -7.192540 , 37.858900 |
Mwaraza | -7.193700 , 37.704770 |
Mwina | -7.143080 , 37.853190 |
Mzinge | -7.333330 , 37.800000 |
Ngagama | -7.207420 , 37.865730 |
Ngerengere | -6.750000 , 38.116670 |
Nghese | -7.016670 , 38.316670 |
Nkulukulu | -7.180880 , 37.803730 |
Nyalala | -7.206840 , 37.771060 |
Pangawe | -6.800000 , 37.783330 |
Rubwe | -6.950000 , 37.700000 |
Ruyoma | -6.883330 , 38.033330 |
Sangasanga | -6.666670 , 37.816670 |
Semakwede | -6.783330 , 37.916670 |
Singiza | -7.259070 , 37.685680 |
Tombaza | -7.149460 , 37.795590 |
Tulo | -7.237540 , 37.921960 |
Tununguo | -7.041350 , 37.932120 |
Ukwama | -7.188020 , 37.711490 |
Vikatala | -7.127880 , 37.817230 |
Visaraka | -6.833330 , 38.183330 |
Zongomero | -7.450000 , 37.550000 |
Notes:
- You can download geometry data for Morogoro in various formats (Geojson,KML,GPX,raw OSM data) by clicking export button on the overpass-turbo
- You can freely use the jpeg type map images you created on the "map cropping" page or downloaded from the "samples" pages.
- (**)
Terms of Use for downloaded geojson files.