Download outline map of Kilolo (geojson format) :
Kilolo.geojson (**)
Download polygon array of Kilolo map for "Google Maps" :
Kilolo.txt
Bounding Box for Kilolo Map : ( -8.400831 , 35.586781 , -7.168521 , 36.844811 )
Wikipedia ID for Kilolo : Q1741422
Wikipedia SPARQL Query for Kilolo (population,elevation,area,lat,long, postal code,licence plate) :
SELECT ?population ?elevation ?area ?latitude ?longitude ?postal_code ?license_plate
WHERE {
OPTIONAL { wd:Q1741422 wdt:P1082 ?population. }
OPTIONAL { wd:Q1741422 wdt:P2044 ?elevation. }
OPTIONAL { wd:Q1741422 wdt:P2046 ?area. }
OPTIONAL { wd:Q1741422 wdt:P281 ?postal_code. }
OPTIONAL { wd:Q1741422 wdt:P395 ?license_plate. }
OPTIONAL {
wd:Q1741422 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 Kilolo map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-8.400831, 35.586781, -7.168521, 36.844811);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Kilolo)
[out:json];
(
rel["name"="Kilolo"][type=boundary];
rel["name:en"="Kilolo"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Kilolo
| Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
| Beku | -7.345840 , 36.272810 |
| Bomalangombe | -8.216670 , 35.866670 |
| Dabaga | -8.116670 , 35.916670 |
| Ibaka | -7.303250 , 36.156020 |
| Ibumu | -7.383020 , 36.082450 |
| Idale | -7.272200 , 36.243420 |
| Idayi | -7.546270 , 36.300960 |
| Ifiga | -8.200000 , 35.800000 |
| Ifua | -7.719310 , 36.381410 |
| Ifua | -8.083330 , 35.883330 |
| Ifuenga | -8.066670 , 35.716670 |
| Ifunda | -7.333330 , 36.183330 |
| Igunda | -7.359740 , 36.340310 |
| Igwamutwa | -8.166670 , 35.600000 |
| Ikimba | -7.631580 , 36.583950 |
| Illindi | -7.396260 , 36.212640 |
| Ilole | -7.733330 , 35.850000 |
| Ilula | -7.676600 , 36.036580 |
| Image | -7.465580 , 36.126530 |
| Imagi | -7.594880 , 36.129250 |
| Ipalamwa | -8.150000 , 35.816670 |
| Ipeta | -8.250000 , 35.850000 |
| Ipokera | -8.050000 , 35.683330 |
| Isenyi | -8.083330 , 35.850000 |
| Isere | -7.667210 , 36.030400 |
| Itami | -7.342480 , 36.178400 |
| Itanga | -8.133330 , 35.900000 |
| Itele | -7.416670 , 36.283330 |
| Ivuma | -7.848920 , 36.289470 |
| Iyogi | -7.366670 , 36.250000 |
| Kadarege | -7.700000 , 36.400000 |
| Katia | -7.417150 , 36.350990 |
| Kidika | -7.469310 , 36.506680 |
| Kidodi | -7.916670 , 35.916670 |
| Kihulula | -7.650000 , 36.183330 |
| Kilanze | -8.016670 , 35.900000 |
| Kilolo | -8.000000 , 35.850000 |
| Kilumbwa | -7.366670 , 36.150000 |
| Kimenya | -7.800000 , 36.700000 |
| Kimilawonga | -7.816670 , 36.133330 |
| Kipelele | -8.150000 , 35.933330 |
| Kiperebetu | -7.349880 , 36.234640 |
| Kirefu | -8.133330 , 35.916670 |
| Kisada | -7.583330 , 36.666670 |
| Kisega | -7.217510 , 36.222800 |
| Kokoto | -7.651080 , 36.147890 |
| Kumwanzi | -8.066670 , 35.683330 |
| Lihogoha | -7.390790 , 36.161600 |
| Lofi | -7.714260 , 36.735980 |
| Lohomero | -7.751560 , 36.729830 |
| Lubungu | -7.433330 , 36.316670 |
| Lugalu | -7.733330 , 35.866670 |
| Luwala | -7.645740 , 36.549640 |
| Lyanika | -8.233330 , 35.816670 |
| Magunga | -7.401230 , 36.152570 |
| Magungu | -7.443930 , 36.394900 |
| Mahe | -7.626720 , 36.269310 |
| Mala | -7.900000 , 35.900000 |
| Malambala | -8.083330 , 35.666670 |
| Malangale | -8.033330 , 35.766670 |
| Masenga | -7.578040 , 36.651930 |
| Matambo | -7.583330 , 36.100000 |
| Matanana | -7.426280 , 36.257640 |
| Matassi | -7.677130 , 36.208850 |
| Mazabika | -7.420330 , 36.157150 |
| Mazombe | -7.700000 , 35.966670 |
| Mbugani | -7.616670 , 36.133330 |
| Mdahira | -7.533330 , 36.316670 |
| Mgowero | -7.485410 , 36.308280 |
| Migu | -7.360710 , 36.178220 |
| Mipande | -7.685320 , 36.457630 |
| Mkombagulu | -7.566670 , 36.533330 |
| Mlale | -7.770100 , 36.788800 |
| Mlama | -8.116670 , 35.733330 |
| Mlolo | -7.883330 , 36.066670 |
| Morogoro | -7.716670 , 35.866670 |
| Msambatwa | -7.515060 , 36.520590 |
| Msanza | -7.450000 , 36.283330 |
| Msata | -7.883330 , 36.216670 |
| Mtandika | -7.534060 , 36.436340 |
| Muhaga | -8.183330 , 36.016670 |
| Muhanye | -7.366670 , 36.066670 |
| Mutanga | -8.133330 , 35.816670 |
| Mwino | -7.422250 , 36.227210 |
| Ndege | -7.300000 , 36.166670 |
| Ndene | -7.566670 , 36.600000 |
| Nduge | -7.724430 , 36.424420 |
| Ngagau | -8.150000 , 35.783330 |
| Nguruhe | -8.066670 , 35.716670 |
| Nyakawanga | -7.364000 , 36.068920 |
| Nyanzwa | -7.341580 , 36.296320 |
| Tenguka | -7.646930 , 36.259430 |
| Udekwa | -7.633330 , 36.416670 |
| Ugowa | -7.650000 , 36.300000 |
| Uhominyi | -7.566670 , 36.100000 |
| Ukwama | -7.648570 , 36.489990 |
| Ulevi | -8.066670 , 36.000000 |
| Uwindi | -7.950000 , 35.816670 |
| Virunde | -7.646130 , 36.324370 |
Notes:
- You can download geometry data for Kilolo 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.