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.