Nigeria Imports

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So far, data from eHealth Africa Foundation and GEOnet Names Server (GNS) for Nigeria have been imported into OSM

eHealth Africa Foundation database imports

Starting on May 2014, different data from the eHealth Africa Foundation has been imported to the OSM database. Here is a table with the different imports, their status, dates, etc.:

eHealth Africa Foundation imports
Import Short description Status Area covered Number of objects imported Import user (number of changesets) Dates
10 Northern Nigeria states wards, LGA's and state boundaries import All State and some LGA boundaries for 10 states of North Nigeria that were imported from Maplibrary were deleted in this import, and replaced with the richer and more accurate eHealth Africa Foundation data. Finished Bauchi, Borno, Jigawa, Kaduna, Kano, Katsina, Kebbi, Sokoto, Yobe and Zamfara states.
State Total
Bauchi 12,935
Borno 6,708
Jigawa 7,952
Kaduna 13,113
Kano 16,266
Katsina 11,553
Kebbi 6,345
Sokoto 6,166
Yobe 6,391
Zamfara 6,691
TOTAL 94,120
Wards 2,788
LGA's 250
States 10
TOTAL 3,048
eHealthAfrica_imports (10 changesets) April 30th to May 6th, 2014
26 Central and South Nigeria states plus the Abuja Federal Capital Territory LGA's and state boundaries import All State and some LGA boundaries for the 26 remaining states of Central and South Nigeria and the Abuja Federal Capital Territory that were imported from Maplibrary were deleted in this import, and replaced with the richer and more accurate eHealth Africa Foundation data. Finished All Nigeria except Bauchi, Borno, Jigawa, Kaduna, Kano, Katsina, Kebbi, Sokoto, Yobe and Zamfara states.
State Total
Abia 1,294
Adamawa 2,205
Akwa Ibom 3,061
Anambra 992
Bayelsa 746
Benue 1,485
Cross River 2,247
Delta 2,019
Ebonyi 866
Edo 2,371
Ekiti 825
Enugu 721
Gombe 1,142
Imo 2,590
Kogi 1,843
Kwara 1,215
Lagos 910
Nasarawa 1,480
Niger 3,171
Ogun 2,115
Ondo 2,176
Osun 1,607
Oyo 1,879
Plateau 2,517
Rivers 1,250
Taraba 2,372
FCT (Abuja) 388
TOTAL 45,487
LGA's 523
States 27
TOTAL 550
eHealthAfrica_imports (27 changesets) May 3rd to 6th, 2014
8 Northern Nigeria states residential areas import All residential areas for 8 states of Northern Nigeria were imported and merged with the existing ones. Finished Borno, Jigawa, Kano, Katsina, Kebbi, Sokoto, Yobe and Zamfara states.
Nodes 387,163
Ways 13,473
Relations 1,538
TOTAL 402,174
Polygons 9,430
Multipolygons 1,538
TOTAL OF RESIDENTIAL AREAS 10,968
eHealthAfrica_imports (21 changesets) May 17th to 20th, 2014
1,087 Kano state health facilities import Import of 1,087 health posts, primary health centres, maternities, clinics and general hospitals of Kano state. Finished Kano state. 1,087 nodes femtope_imports (42 changesets), sameme_import (12 changesets), Owolabi_import (10 changesets), edvac_import (12 changesets) and adeola (3 changesets). June 19th to July 9th, 2014
Extracted places from the residential polygons import Import of the places names and nodes extracted from the residential areas data for several states of Northern Nigeria. Work in progress
State Nodes
Jigawa 1,965 (aprox.)
Kano 2,084
Katsina 2,093 (aprox.)
Sokoto 1,588 (aprox.)
Zamfara 1,330 (aprox.)
Borno 400
TOTAL 9,460
n/a. Started July 16th, 2014
Kaduna State Roads import The goal is to import all missing roads for Kaduna state with eHealth Africa Foundation data, consisting on 83,370 Km of highways. Not started yet Kaduna State. The original file consists of 4,585,146 objects, of which 3,993,771 are nodes and 591,375 are ways (587,582 are unpaved, 3,793 are paved and 1 in construction). The total lenght is 83,370 km.
1,096 Bauchi state health facilities import Import of 1,096 health posts, primary health centres, maternities, clinics and general hospitals of Bauchi state. Finished Bauchi state. 1,096 nodes femtope_imports and edvac_import September 2nd to September 29th, 2014
508 Borno state health facilities import Import of 508 health posts, primary health centres, maternities, clinics and general hospitals of Borno state. Work in progress Borno state. 508 nodes
4,556 Borno state lesser settlements import Import of 4,556 hamlets, villages, isolated dwellings and neighbourhoods of Borno state. Work in progress Borno state. 4,556 nodes

GEOnet Names Server (GNS) 2009 import

Nearly all of the information from the GEOnet Names Server (GNS) has been imported for Nigeria. The majority of the nodes are place names, but since there is no population data for any of them, place type is defaulted to 'village' with a fixme tag instructing mappers to adjust as appropriate. The places duplicate existing nodes, but few places had been entered for Nigeria at the time of the import.

In addition to place names, the GNS import included other points such as peaks, bays, ruins, etc. The GNS coordinates are only precise to minutes (in DegMinSec format), so in areas with lots of points you'll notice that they may take on the shape of a grid.

River/Stream information has also been imported, although just as points, not as ways. They were imported to help with identifing any rivers traced from satellite imagery. The names tend to be placed near the mouth of a river, or where the river joins another. It's worth noting that if data outlining the waterways is available anywhere, it would be much better to import it than to spend time hand-tracing the rivers. And it probably is available, somewhere.

Mountains/Hills/Peaks do not have their elevations, even though the elevations are available in the GNS data. Whoops. =D Hopefully it will be straightforward to retrieve those nodes via their GNS:id and add the elevation data.

For questions or feedback about the import, contact user DanHomerick (email: danhomerick@gmail.com) or in the discussion for this page.

update on GNS data

As of 2015, much better data are available from the US government. They added arc seconds to the coordinates so the majority of the nodes is now at their appropriate position. Unfortunately, they removed elevation data from their database.

Some of the imported data have been corrected according to the new data in the course of the imports mentioned in the table. But there still remains a huge amount of old data to be verified/changed.