Zawiya District (English Wikipedia)
Analisys of sources in references of the Wikipedia ariticle en.wikipedia.org/wiki/Zawiya District
| Site | Hosts in references | Count | Global rank | English rank |
| books.google.com | books.google.com↓ (2) | 2 | 1 | 1 |
| opendataforafrica.org | libya.opendataforafrica.org↓ (2) | 2 | low | low |
| statoids.com | statoids.com↓ (1) | 1 | 1221 | 1241 |
| cia.gov | cia.gov↓ (1) | 1 | 59 | 90 |
| gpco.gov.ly | gpco.gov.ly↓ (1) | 1 | low | low |
| archive.org | web.archive.org↓ (1) | 1 | 2 | 2 |
| bbc.co.uk | bbc.co.uk↓ (1) | 1 | 4 | 4 |
| un.org | unpan1.un.org↓ (1) | 1 | 66 | 103 |
bbc.co.uk
- 8. "Libya profile - Timeline". BBC. 2 August 2016. Retrieved 20 November 2016.
books.google.com
- 2. McColl, R. W. (2014). Encyclopedia of World Geography, Volume 1. Infobase Publishing. p. 543. ISBN 9780816072293.
- 4. Otman, Waniss; Karlberg, Erling (2007). The Libyan Economy: Economic Diversification and International Repositioning. Springer Science & Business Media. pp. 1–3. ISBN 9783540464631.
cia.gov
- 3. "Libya profile". 2016. Retrieved 23 November 2016.
gpco.gov.ly
- 7. شعبيات الجماهيرية العظمى – Sha'biyat of Great Jamahiriya Archived December 20, 2008, at the Wayback Machine, accessed 21 June 2009, in Arabic
libya.opendataforafrica.org
- 5. "Census of Libya". General Information Authority, Libya. 2012. Retrieved 17 November 2016.
- 6. "Health statistics of Libya". World Health Organization (WHO). 2007. Retrieved 17 November 2016.
statoids.com
- 1. "Districts of libya". statoids.com. Retrieved 27 October 2009.
unpan1.un.org
- 9. Great Socialist People's Libyan Arag Jamahiriya Public Administration and Country profile (PDF) (Report). Department of Economic and Social Affairs (DESA), United Nations. 2004. p. 9. Retrieved 17 November 2016.
web.archive.org
- 7. شعبيات الجماهيرية العظمى – Sha'biyat of Great Jamahiriya Archived December 20, 2008, at the Wayback Machine, accessed 21 June 2009, in Arabic
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BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...