Nigeria Imports

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.