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.