Download outline map of Mbarali (geojson format) :
Mbarali.geojson (**)
Download polygon array of Mbarali map for "Google Maps" :
Mbarali.txt
Bounding Box for Mbarali Map : ( -8.937819 , 33.550156 , -7.618675 , 34.968066 )
Wikipedia ID for Mbarali : Q6799622
Wikipedia SPARQL Query for Mbarali (population,elevation,area,lat,long, postal code,licence plate) :
SELECT ?population ?elevation ?area ?latitude ?longitude ?postal_code ?license_plate
WHERE {
OPTIONAL { wd:Q6799622 wdt:P1082 ?population. }
OPTIONAL { wd:Q6799622 wdt:P2044 ?elevation. }
OPTIONAL { wd:Q6799622 wdt:P2046 ?area. }
OPTIONAL { wd:Q6799622 wdt:P281 ?postal_code. }
OPTIONAL { wd:Q6799622 wdt:P395 ?license_plate. }
OPTIONAL {
wd:Q6799622 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 Mbarali map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-8.937819, 33.550156, -7.618675, 34.968066);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Mbarali)
[out:json];
(
rel["name"="Mbarali"][type=boundary];
rel["name:en"="Mbarali"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Mbarali
Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
Chimala | -8.850000 , 34.016670 |
Chosi | -8.833330 , 34.050000 |
Diminineio | -8.483330 , 34.366670 |
Dunda | -8.116670 , 34.250000 |
Hambili | -8.633330 , 33.766670 |
Ibala | -8.700000 , 34.366670 |
Igawa | -8.583330 , 34.466670 |
Igawilo | -8.616670 , 34.666670 |
Igea | -8.700000 , 34.366670 |
Igunda | -8.550000 , 34.450000 |
Ikanotwa | -8.583330 , 34.383330 |
Ikoga | -8.400000 , 34.616670 |
Ilongwa | -8.583330 , 33.950000 |
Ipangu | -8.516670 , 33.983330 |
Ipogoro | -8.316390 , 34.699030 |
Isunura | -8.616670 , 34.416670 |
Itamba | -8.700000 , 34.216670 |
Kapunga | -8.700000 , 34.050000 |
Kikondo | -8.783330 , 34.166670 |
Kikwega | -8.133330 , 33.733330 |
Kimani | -8.766670 , 34.166670 |
Kimani | -8.850000 , 34.166670 |
Kinguga | -8.666670 , 34.150000 |
Kitete | -8.250000 , 33.733330 |
Kiwere | -8.566670 , 34.483330 |
Kwabamba | -8.800000 , 34.183330 |
Lipagama | -8.400000 , 34.266670 |
Luhanga | -8.616670 , 33.883330 |
Mababila | -8.633330 , 33.850000 |
Mabadaga | -8.733330 , 34.216670 |
Madibira | -8.200000 , 34.816670 |
Madudi | -8.733330 , 34.283330 |
Mahango | -8.203420 , 34.819410 |
Mahongole | -8.616670 , 34.233330 |
Majombe | -8.833330 , 33.966670 |
Makanganyika | -8.200000 , 33.733330 |
Malamba | -8.800000 , 33.616670 |
Malegee | -8.550000 , 34.166670 |
Mambi | -8.783330 , 33.800000 |
Maperemehe | -8.616670 , 34.316670 |
Mapishimingu | -8.683330 , 33.916670 |
Mapogoro | -8.833330 , 34.116670 |
Mapogoro | -8.566340 , 33.732020 |
Mapunga | -8.816670 , 33.900000 |
Masasi | -8.833330 , 34.066670 |
Mashombo | -8.816670 , 33.800000 |
Mawindi | -8.683330 , 34.500000 |
Mazumbi | -8.266670 , 33.666670 |
Mhanira | -8.716670 , 33.883330 |
Mkombwe | -8.550000 , 34.283330 |
Mkunyuwa | -8.201040 , 34.827860 |
Mlomboje | -8.800000 , 34.350000 |
Moyota | -8.716670 , 34.316670 |
Mporo | -8.733330 , 33.900000 |
Msaka | -8.650000 , 34.066670 |
Mswisu | -8.683330 , 33.833330 |
Mwanyimbwa | -8.650000 , 34.183330 |
Mzawa | -8.500000 , 33.866670 |
Nyamtowo | -8.583330 , 34.366670 |
Nyaulambo | -8.716670 , 34.066670 |
Ruhanga | -8.800000 , 34.100000 |
Ruiwa | -8.766670 , 33.633330 |
Rujewa | -8.700000 , 34.383330 |
Salehes | -8.150000 , 33.666670 |
Sampulinugombe | -8.616670 , 33.850000 |
Sangusi | -7.983330 , 34.216670 |
Shamoto | -8.800000 , 33.850000 |
Soliwaya | -8.600000 , 33.883330 |
Ujola | -8.666670 , 33.916670 |
Ukwaheri | -8.483330 , 33.983330 |
Ukwawila | -8.683330 , 34.150000 |
Ulanga | -8.350000 , 34.300000 |
Ulomba | -8.683330 , 34.200000 |
Utengule | -8.683330 , 33.866670 |
Utiego | -8.650000 , 34.333330 |
Uturo | -8.516670 , 34.050000 |
Utuya | -8.416670 , 34.166670 |
Uyulo | -8.799710 , 34.132500 |
Yala | -8.550000 , 34.066670 |
Notes:
- You can download geometry data for Mbarali 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.