Implications of non-utilization of population data For development planning in Nigeria
Keywords:
Population, Data, Census, Development Planning, Vital StatisticsAbstract
The paper examines implications of non-utilization of population data for development planning in Nigeria. In developing countries, including Nigeria, population data are not adequately used for development planning. Whilst in developed countries of the world population data constitute an indispensable element of planning and development. Using Social development theory as a framework. This paper identified implications of nonutilization of population data and how this affect development planning in Nigeria. Data for the paper were obtained through the secondary sources like the Nation Bureau of Statistics, National Population Commission and academic journals. The findings show that the slow level of development in Nigeria is as a result of non-use of population data. The study also shows that planning in Nigeria is ineffective because population data are underutilized. Therefore, the paper recommends that there is need for effective utilization of population data by the government, development partners and private sectors for effective planning. This could facilitate greater pull of economic and social development of any nation. Interactions of population experts with government improves the integrity of systems and increase administrative efficiency of any nation of the world towards the use of population data that will stimulus development and economic planning.Downloads
References
1. Anderson, M., & Fienberg, S. E. (2001). Who Counts? The Politics of Census Taking in Contemporary America. Russell Sage Foundation, New York, 10(23), 33–35.
2. Baumle, A. K., & Poston, D. L. (2018). Alternative house reapportionment scenarios based on projected 2020 census results. Paper presented at the Population Association of America Conference, Denver, CO., April 27.
3. Edmonston, B. (2001). Effects of U.S. decennial census undercoverage on analyses of school enrollments: A case study of Portland public schools. U.S. Census Monitoring Board, Report Series, Report No. 5, February.
4. Elizabeth, A. S. (2015). International Encyclopedia of the Social & Behavioural Sciences (2nd ed.). International Journal of Population Studies, 13(21), 14–16.
5. Harald, U. (2016). Population and housing censuses in Norway: Towards a register-based solution. Joint ECE/Eurostat Work Session on Registers and Administrative Records for Social and Demographic Statistics, Geneva, March 1–3, 1999.
6. Kish, L. (2001). Statistical systems: Censuses of population. International Journal of the Social & Behavioural Sciences, 9(6), 28–31.
7. Marker, A. (2018). Demographic survey and economic planning of Nigeria. International Journal of Population Studies, 11(23), 34–36.
8. National Bureau of Statistics (2019). History and development of data management in Nigeria. Retrieved May 16, 2020, from https://nigerianstat.gov.ng/page/about-us
9. National Population Commission (NPC). (2019). History of the NPC in Nigeria. Retrieved November 15, 2022, from http://ghdx.healthdata.org/organizations/NationalPopulationCommission-Nigeria
10. Nigeria Immigration Service (NIS). (2019). History of Nigeria Immigration Service. Retrieved May 16, 2020, from https://immigration.gov.ng/nishistory/
11. Osujih, O. (1999). A Handbook of Vital Statistics for Health & Social Sciences. Rivers: Fredsbary Printers & Publishers.
12. Srinivasan, A. O. (1998). World Population Publication. International Publication of the United Nations.
13. Tarsi, K., & Tuff, T. (2012). Introduction to population demographics. Nature Education Knowledge, 3(11), 2–12.
14. National Identity Management Commission (NIMC). (2019). Retrieved May 16, 2020, from https://www.nimc.gov.ng/publications/
15. Ushie, M. A., Ogar, J. O., Egidi, S. A., & Ushie, C. A. (2020). Population distribution, density and development indicators in Nigeria: The Cross River State example. Journal of Humanities and Social Science, 27(3), 3–12.
16. Ushie, M. A., Ushie, C. A., Egidi, S. A., & Tangban, E. (2020). Coronavirus (COVID-19) pandemic and the need for effective management of population statistics: The Nigerian example. International Journal of Research and Innovation in Social Science, 5(11), 3–14.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
