tools.PAINTMAPS.comMbala (Northern) Map Cropping Samples
Mbala (Northern) Map Cropping Samples-1
Mbala (Northern) Map Cropping Samples-2
Mbala neighborhoods and villages map with 3D shadow effect
flag map of Mbala with 3D shadow effect
Mbala map with 3d shadow effect
Download outline map of Mbala (geojson format) : Mbala.geojson (**)
Download polygon array of Mbala map for "Google Maps" : Mbala.txt
Bounding Box for Mbala Map : ( -9.655769 , 30.992441 , -8.588235 , 32.264593 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Mbala map
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Mbala)
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Mbala
Create Mbala neighborhoods and villages map.
Download polygon array of Mbala map for "Google Maps" : Mbala.txt
Bounding Box for Mbala Map : ( -9.655769 , 30.992441 , -8.588235 , 32.264593 )
Get Boundaries from overpass-turbo (OSM) with boundary box of Mbala map
[out:json];
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-9.655769, 30.992441, -8.588235, 32.264593);
);
out geom;
(
relation["boundary"="administrative"]["admin_level"~"5|6|7"](-9.655769, 30.992441, -8.588235, 32.264593);
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Get Boundaries from overpass-turbo (OSM) with place name (Mbala)
[out:json];
(
rel["name"="Mbala"][type=boundary];
rel["name:en"="Mbala"][type=boundary];
);
out geom;
(
rel["name"="Mbala"][type=boundary];
rel["name:en"="Mbala"][type=boundary];
);
out geom;
Run this query on overpass-turbo (Click RUN button on the opened page!)
Neighborhoods and Villages of Mbala
| Neighborhoods and Villages | Coordinates (Latitude, Longitude) |
| Andeleya | -9.566670 , 31.216670 |
| Andreya | -9.300000 , 31.916670 |
| Assumani | -8.866670 , 31.500000 |
| Benjamin | -9.116670 , 32.066670 |
| Benson | -8.833330 , 31.500000 |
| Chaila | -9.183330 , 31.766670 |
| Chakamba | -9.266670 , 31.800000 |
| Chalikosa | -9.483330 , 31.683330 |
| Chalomba | -9.066670 , 31.616670 |
| Chalumba | -9.083330 , 31.450000 |
| Chamazambi | -9.445590 , 31.400380 |
| Chambana | -9.384420 , 31.896810 |
| Chambanenge | -9.533330 , 31.650000 |
| Chambanenge | -9.366670 , 31.566670 |
| Chambuleni | -9.600000 , 31.166670 |
| Changwa | -9.549230 , 31.475520 |
| Chanona | -9.133330 , 31.550000 |
| Chela | -9.116670 , 32.050000 |
| Chela Mbilima | -9.516670 , 31.616670 |
| Chenga | -9.300000 , 31.533330 |
| Chewe Kaniki | -9.400000 , 31.800000 |
| Chikote | -9.481300 , 31.150900 |
| Chikoti | -9.016670 , 31.666670 |
| Chikoti | -9.466670 , 31.083330 |
| Chikunta | -9.328870 , 31.693090 |
| Chikusela | -9.111470 , 31.795820 |
| Chikwanda | -9.413330 , 31.525530 |
| Chilambweshi | -9.066670 , 32.083330 |
| Chilinde | -9.264310 , 31.681000 |
| Chilingwa | -9.333330 , 32.100000 |
| Chilundumuzi | -9.215040 , 32.074520 |
| Chimula | -9.100000 , 31.700000 |
| Chindiboyi | -9.400000 , 31.466670 |
| Chindo | -9.401040 , 31.544610 |
| Chingalaba | -9.566670 , 31.233330 |
| Chingambo | -8.650000 , 31.333330 |
| Chipale | -8.866670 , 31.516670 |
| Chipiya | -9.043610 , 31.672050 |
| Chipundu | -8.850000 , 31.533330 |
| Chipushi | -9.250000 , 32.033330 |
| Chisanya | -9.450000 , 31.216670 |
| Chisembo | -9.416670 , 32.150000 |
| Chisesa | -9.350000 , 31.950000 |
| Chisha | -9.333330 , 31.966670 |
| Chisulo | -9.316670 , 31.833330 |
| Chitulikwa | -9.017650 , 31.906460 |
| Chituta | -9.442700 , 31.771020 |
| Chivuta | -9.356940 , 31.756090 |
| Chole | -8.933330 , 31.650000 |
| Chundu | -9.499300 , 31.289110 |
| Daniel | -9.233330 , 31.683330 |
| Dauseni | -9.500000 , 31.650000 |
| David | -8.983330 , 31.583330 |
| Dominiko | -8.983330 , 31.666670 |
| Dominiko | -9.272480 , 31.671000 |
| Efraim | -8.800000 , 31.550000 |
| Eprule | -9.000000 , 31.683330 |
| Funda | -9.300000 , 31.950000 |
| Fwambo | -8.866670 , 31.533330 |
| George Mwembe | -9.200000 , 32.116670 |
| Henry | -8.950000 , 31.533330 |
| Imbila | -9.333330 , 31.816670 |
| Itimbwe | -8.966670 , 31.483330 |
| Jakalasi | -8.950000 , 31.600000 |
| Jeremia | -8.983330 , 31.650000 |
| Jim Chindo | -9.400000 , 31.516670 |
| Jim Malesu | -8.650000 , 31.366670 |
| John Chivuta | -9.500000 , 31.700000 |
| Kafunda | -9.250000 , 32.033330 |
| Kaka | -9.015030 , 31.666410 |
| Kakopo | -9.066670 , 31.933330 |
| Kakozya | -8.874930 , 31.587670 |
| Kakula | -9.466670 , 31.666670 |
| Kalandanya | -9.500000 , 31.550000 |
| Kalandanya | -8.866670 , 31.550000 |
| Kalenje | -9.208430 , 31.559720 |
| Kalesu | -9.300000 , 31.583330 |
| Kalukanya | -9.416670 , 31.250000 |
| Kalundi | -8.966670 , 31.616670 |
| Kalwala | -9.566670 , 31.500000 |
| Kalyati | -9.333330 , 31.250000 |
| Kamacholola | -8.966670 , 31.716670 |
| Kamuchinka | -9.366670 , 31.783330 |
| Kamyanga | -9.474000 , 31.329400 |
| Kangombe Chisha | -9.500000 , 31.400000 |
| Kaniki | -9.500000 , 31.583330 |
| Kansilye | -9.466670 , 31.500000 |
| Kaongela | -9.133330 , 31.983330 |
| Kapembwa | -9.566670 , 31.433330 |
| Kapepa | -9.016670 , 31.550000 |
| Kapoli | -9.383330 , 31.283330 |
| Kapoli | -9.416670 , 31.683330 |
| Kapufi | -9.400000 , 31.766670 |
| Kasanga | -9.083330 , 31.616670 |
| Kasukusume | -9.405210 , 31.265210 |
| Katata | -9.183330 , 32.083330 |
| Katazi | -9.366670 , 31.866670 |
| Kayipambe | -9.633330 , 31.183330 |
| Kayiwa | -8.850000 , 31.466670 |
| Kayowela | -8.969720 , 31.689650 |
| Kazimolwa | -8.883330 , 31.383330 |
| Kazimoto | -9.000000 , 31.600000 |
| Kazinga | -8.700000 , 31.383330 |
| Kazumba | -8.950000 , 31.516670 |
| Kela | -8.989580 , 31.630640 |
| Kotito | -9.069440 , 31.338170 |
| Lasalo | -8.950000 , 31.700000 |
| Lazalo | -9.433330 , 31.716670 |
| Lembalemba | -9.237680 , 31.608330 |
| Leo Makoti | -9.466670 , 31.533330 |
| Lomyonga | -9.200000 , 32.016670 |
| Lumi | -8.812420 , 31.556900 |
| Lungu | -9.050000 , 31.333330 |
| Lunzua | -9.010380 , 31.399280 |
| Lupasha | -9.400000 , 31.716670 |
| Lusale Mengo | -9.150000 , 31.516670 |
| Lusamba | -8.983330 , 31.716670 |
| Machili | -9.033330 , 31.800000 |
| Machipisha | -9.266670 , 31.783330 |
| Makasi | -8.950000 , 31.533330 |
| Makungu | -8.839240 , 31.529220 |
| Malambo | -8.766670 , 31.500000 |
| Maliko | -9.533330 , 31.250000 |
| Maliko | -9.250000 , 31.966670 |
| Malindima | -9.502820 , 31.134860 |
| Malupenga | -9.495440 , 31.199640 |
| Mambwe | -9.188520 , 31.699140 |
| Mambwe | -9.072530 , 32.011740 |
| Mandyata | -9.350000 , 32.216670 |
| Masanje | -9.471290 , 31.611820 |
| Matandiko | -9.250000 , 31.683330 |
| Mateo | -8.933330 , 31.533330 |
| Maule | -9.466670 , 31.333330 |
| Mayembe | -8.883330 , 31.516670 |
| Mayimba | -9.116670 , 31.916670 |
| Mbala | -8.840240 , 31.365870 |
| Mbalamwezi | -9.266670 , 31.700000 |
| Mbalamwezi | -8.779170 , 31.542310 |
| Mbalasa | -9.150000 , 31.750000 |
| Mbalazi | -8.950000 , 31.583330 |
| Mbokoshi | -9.150000 , 32.000000 |
| Mengo | -9.166670 , 31.516670 |
| Milambo | -8.900000 , 31.450000 |
| Moses | -9.423130 , 31.316230 |
| Mpande | -9.391180 , 31.675970 |
| Mpangankulu | -9.450000 , 31.250000 |
| Mpelembe | -9.050000 , 31.866670 |
| Mpemba | -8.900000 , 31.516670 |
| Mukalamba | -9.300000 , 32.200000 |
| Mukama | -9.333330 , 31.283330 |
| Mukomandolo | -9.233330 , 32.150000 |
| Mukuntansela | -9.433330 , 31.816670 |
| Mukusunga | -9.550000 , 31.383330 |
| Mulenga | -9.497930 , 31.191940 |
| Mulumwesi | -9.350010 , 31.234760 |
| Mumembe | -9.083330 , 31.433330 |
| Munwe | -8.809450 , 31.521160 |
| Munyama | -8.983330 , 31.583330 |
| Musimbwe | -9.208000 , 31.695770 |
| Musonda | -9.183330 , 31.866670 |
| Mutipe | -9.109480 , 31.634180 |
| Mutitimya | -9.316670 , 32.066670 |
| Mutupike | -9.383330 , 32.233330 |
| Mwamba | -8.886880 , 31.613460 |
| Mwambo | -9.016670 , 31.516670 |
| Mwanaboyi | -9.116670 , 31.733330 |
| Mwanachiya | -8.866670 , 31.516670 |
| Mwanakatwe | -9.250000 , 31.566670 |
| Mwembe | -9.083330 , 32.133330 |
| Mwene Chileshe | -9.033330 , 31.883330 |
| Mwenyi | -9.316670 , 31.350000 |
| Namantemba | -8.991610 , 31.674230 |
| Nchelenje | -9.366670 , 32.200000 |
| Nchinge | -8.883330 , 31.533330 |
| Nitande Chitongo | -8.783330 , 31.466670 |
| Njelesi | -9.283330 , 31.766670 |
| Nkokomoshi | -9.400000 , 31.933330 |
| Nkonye | -9.100000 , 32.033330 |
| Noah | -8.916670 , 31.666670 |
| Nondo | -9.557530 , 31.203270 |
| Nshika | -8.850000 , 31.516670 |
| Nsokolo | -9.178930 , 31.829580 |
| Pensulo | -9.433330 , 31.783330 |
| Penza | -8.940250 , 31.547930 |
| Petelo Yumbo | -9.366670 , 31.366670 |
| Petulo Musomali | -9.383330 , 31.866670 |
| Ponde | -9.372270 , 31.670010 |
| Pula | -8.650000 , 31.366670 |
| Puluwe | -9.500000 , 31.366670 |
| Pumpa | -9.033330 , 31.566670 |
| Ruben Kachinga | -9.266670 , 32.150000 |
| Samamba | -9.380880 , 31.782220 |
| Sambwe | -9.366670 , 31.283330 |
| Sampatika | -9.123110 , 31.802950 |
| Samson | -8.900000 , 31.616670 |
| Samson | -9.050000 , 31.866670 |
| Satoka | -9.322970 , 31.612570 |
| Selemani | -8.816670 , 31.550000 |
| Sementi | -9.210470 , 31.475660 |
| Semu | -8.916670 , 31.583330 |
| Semu | -9.283330 , 31.566670 |
| Senda | -8.934240 , 31.617930 |
| Senga Hill | -9.369790 , 31.240270 |
| Senka | -9.116670 , 32.083330 |
| Shini | -9.366670 , 31.983330 |
| Sikalembe | -9.078660 , 31.985770 |
| Sikantende | -9.116670 , 31.600000 |
| Simeon Zombe | -8.666670 , 31.366670 |
| Simon Kandapupwe | -9.300000 , 32.150000 |
| Simon Nyumba | -9.416670 , 32.183330 |
| Sindano | -9.333330 , 31.966670 |
| Sindano | -9.350000 , 31.383330 |
| Sindano | -9.039280 , 31.609830 |
| Sintemba | -9.333330 , 32.033330 |
| Sokoni | -9.466670 , 31.666670 |
| Sokwelo | -9.150000 , 32.150000 |
| Solomon | -9.000000 , 31.733330 |
| Somba | -9.166670 , 32.050000 |
| Supuni Babiyo | -9.466670 , 31.400000 |
| Tanganyika | -9.416670 , 31.583330 |
| Tansuka | -9.329990 , 31.885130 |
| Tengu | -9.250000 , 32.050000 |
| Teta | -9.433330 , 31.700000 |
| Timbo | -9.166670 , 32.050000 |
| Tom | -8.866670 , 31.533330 |
| Tungwele | -8.985570 , 31.873220 |
| Tuseko | -9.100000 , 31.950000 |
| Tuseko | -9.150000 , 31.500000 |
| Vumbu | -9.116670 , 31.950000 |
| Walichupa | -9.483330 , 31.283330 |
| Wambuzi | -9.200000 , 32.083330 |
| Wangala | -9.050000 , 31.733330 |
| Washama | -8.850000 , 31.500000 |
| Yambayamba | -9.283330 , 31.883330 |
| Yambola | -8.998110 , 31.567900 |
| Yona | -8.916670 , 31.616670 |
| Yumbe Kolosa | -9.600000 , 31.216670 |
| Zombe | -9.189760 , 31.853270 |
| Zombe | -8.733330 , 31.433330 |
Notes:
- You can download geometry data for Mbala 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.
- You can download geometry data for Mbala 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.