6 datasets found
  1. T

    Nigeria Death Rate Crude Per 1 000 People

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
    + more versions
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    TRADING ECONOMICS (2017). Nigeria Death Rate Crude Per 1 000 People [Dataset]. https://tradingeconomics.com/nigeria/death-rate-crude-per-1-000-people-wb-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Nigeria
    Description

    Actual value and historical data chart for Nigeria Death Rate Crude Per 1 000 People

  2. Main causes of death in Nigeria 2021

    • statista.com
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    Statista, Main causes of death in Nigeria 2021 [Dataset]. https://www.statista.com/statistics/1122916/main-causes-of-death-and-disability-in-nigeria/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Nigeria
    Description

    The main causes of death in Nigeria in 2021 were neonatal disorders and malaria. More specifically, nearly 14 percent and 13 percent of all deaths in the country were caused by neonatal disorders and malaria, respectively. Other common causes included lower respiratory infects and COVID-19.

  3. COVID-19 Nigeria Dataset Eco

    • kaggle.com
    zip
    Updated Jun 20, 2020
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    Umagba Alex (2020). COVID-19 Nigeria Dataset Eco [Dataset]. https://www.kaggle.com/alexium/covid19-nigeria-dataset-eco
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    zip(6353 bytes)Available download formats
    Dataset updated
    Jun 20, 2020
    Authors
    Umagba Alex
    Area covered
    Nigeria
    Description

    This data is built for learning, to get insight and to solve infectious diseases pandemic and also to discover a way to predict the effect of the outbreak on the Nigeria economy.

    This data is built from data sourced from Nigeria Centre for Disease Control daily situation report, World Health Organisation COVID-19 daily situation report, Central Bank of Nigeria, Bloomberg, Nigeria Stock Exchange and Accuweather.

    The dataset comprises of 20 columns. Id, date, confirm case(nigeria), new case(nigeria), total case(nigeria), death case(nigeria), global confirmed case, percentage on confirmed case, global new case, percentage on global new case, global death case, percentage on global death case(nigeria), weather(lagos), Exchange rate(naira to USD) (buying rate, central rate, selling rate), all share index(nigeria), global oil price(USD) and External reserves (gross and liquid)(nigeria).

    Acknowledgements A deep appreciation goes to Nigeria Centre for Disease Control and the effort of the Federal government of Nigeria for their unrelented effort to battle the outbreak of the novel Corona Virus Pandemic and sincere appreciation goes to World Health Organisation COVID-19 daily situation report, Central Bank of Nigeria, Bloomberg, Nigeria Stock Exchange and Accuweather for their open data. https://www.accuweather.com/en/ng/lagos/4607/april-weather/4607?year=2020 https://ng.investing.com/indices/nse-all-share-historical-data https://www.cbn.gov.ng/IntOps/Reserve.asp?MoveDate=4/3/2020%208:11:54%20PM https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports https://www.bloomberg.com/quote/CO1:COM https://www.cbn.gov.ng/rates/ExchRateByCurrency.asp https://covid19.ncdc.gov.ng/

  4. Population of Nigeria 1950-2024

    • statista.com
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    Statista, Population of Nigeria 1950-2024 [Dataset]. https://www.statista.com/statistics/1122838/population-of-nigeria/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    As of July 2024, Nigeria's population was estimated at around 229.5 million. Between 1965 and 2024, the number of people living in Nigeria increased at an average rate of over two percent. In 2024, the population grew by 2.42 percent compared to the previous year. Nigeria is the most populous country in Africa. By extension, the African continent records the highest growth rate in the world. Africa's most populous country Nigeria was the most populous country in Africa as of 2023. As of 2022, Lagos held the distinction of being Nigeria's biggest urban center, a status it also retained as the largest city across all of sub-Saharan Africa. The city boasted an excess of 17.5 million residents. Notably, Lagos assumed the pivotal roles of the nation's primary financial hub, cultural epicenter, and educational nucleus. Furthermore, Lagos was one of the largest urban agglomerations in the world. Nigeria's youthful population In Nigeria, a significant 50 percent of the populace is under the age of 19. The most prominent age bracket is constituted by those up to four years old: comprising 8.3 percent of men and eight percent of women as of 2021. Nigeria boasts one of the world's most youthful populations. On a broader scale, both within Africa and internationally, Niger maintains the lowest median age record. Nigeria secures the 20th position in global rankings. Furthermore, the life expectancy in Nigeria is an average of 62 years old. However, this is different between men and women. The main causes of death have been neonatal disorders, malaria, and diarrheal diseases.

  5. Coronavirus (COVID-19) cases in Nigeria 2022, by state

    • statista.com
    Updated Aug 16, 2022
    + more versions
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    Statista (2022). Coronavirus (COVID-19) cases in Nigeria 2022, by state [Dataset]. https://www.statista.com/statistics/1122620/coronavirus-cases-in-nigeria-by-state/
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    As of August 10, 2022, the total number of COVID-19 cases in Nigeria amounted to 262,402. Lagos was the most impacted state, counting over 102.7 thousand cases. Federal Capital Territory (FCT) and Rivers had the second and third highest number of cumulative cases, respectively.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  6. The 2018 Nigeria Demographic and Health Survey - Nigeria

    • microdata-catalog.afdb.org
    Updated Jun 15, 2022
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    National Population Commission (NPC) (2022). The 2018 Nigeria Demographic and Health Survey - Nigeria [Dataset]. https://microdata-catalog.afdb.org/index.php/catalog/143
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    Dataset updated
    Jun 15, 2022
    Dataset provided by
    National Population Commissionhttps://nationalpopulation.gov.ng/
    Authors
    National Population Commission (NPC)
    Time period covered
    2018
    Area covered
    Nigeria
    Description

    Abstract

    The 2018 Nigeria Demographic and Health Survey (2018 NDHS) was implemented by the National Population Commission (NPC). Data collection took place from 14 August to 29 December 2018. ICF provided technical assistance through The DHS Program, which is funded by the United States Agency for International Development (USAID) and offers financial support and technical assistance for population and health surveys in countries worldwide. Other agencies and organisations that facilitated the successful implementation of the survey through technical or financial support were the Global Fund, the Bill and Melinda Gates Foundation (BMGF), the United Nations Population Fund (UNFPA), and the World Health Organization (WHO).

    SURVEY OBJECTIVES The primary objective of the 2018 NDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the NDHS collected information on fertility, awareness and use of family planning methods, breastfeeding practices, nutritional status of women and children, maternal and child health, adult and childhood mortality, women’s empowerment, domestic violence, female genital cutting, prevalence of malaria, awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections (STIs), disability, and other health-related issues such as smoking.

    The information collected through the 2018 NDHS is intended to assist policymakers and programme managers in evaluating and designing programmes and strategies for improving the health of the country’s population. The 2018 NDHS also provides indicators relevant to the Sustainable Development Goals (SDGs) for Nigeria.

    Geographic coverage

    national coverage

    Analysis unit

    Households Women Men children

    Universe

    the survey covered all household members (permanent residents and visitor), all Women aged 15-49 years, all children 0-59 months and all men aged 15-59 years in one-third of households

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sampling frame used for the 2018 NDHS is the Population and Housing Census of the Federal Republic of Nigeria (NPHC), which was conducted in 2006 by the National Population Commission. Administratively, Nigeria is divided into states. Each state is subdivided into local government areas (LGAs), and each LGA is divided into wards. In addition to these administrative units, during the 2006 NPHC each locality was subdivided into convenient areas called census enumeration areas (EAs). The primary sampling unit (PSU), referred to as a cluster for the 2018 NDHS, is defined on the basis of EAs from the 2006 EA census frame. Although the 2006 NPHC did not provide the number of households and population for each EA, population estimates were published for 774 LGAs. A combination of information from cartographic material demarcating each EA and the LGA population estimates from the census was used to identify the list of EAs, estimate the number of households, and distinguish EAs as urban or rural for the survey sample frame. Before sample selection, all localities were classified separately into urban and rural areas based on predetermined minimum sizes of urban areas (cut-off points); consistent with the official definition in 2017, any locality with more than a minimum population size of 20,000 was classified as urban.

    The sample for the 2018 NDHS was a stratified sample selected in two stages. Stratification was achieved by separating each of the 36 states and the Federal Capital Territory into urban and rural areas. In total, 74 sampling strata were identified. Samples were selected independently in every stratum via a two-stage selection. Implicit stratifications were achieved at each of the lower administrative levels by sorting the sampling frame before sample selection according to administrative order and by using a probability proportional to size selection during the first sampling stage.

    In the first stage, 1,400 EAs were selected with probability proportional to EA size. EA size was the number of households in the EA. A household listing operation was carried out in all selected EAs, and the resulting lists of households served as a sampling frame for the selection of households in the second stage. In the second stage’s selection, a fixed number of 30 households was selected in every cluster through equal probability systematic sampling, resulting in a total sample size of approximately 42,000 households. The household listing was carried out using tablets, and random selection of households was carried out through computer programming. The interviewers conducted interviews only in the pre-selected households. To prevent bias, no replacements and no changes of the pre-selected households were allowed in the implementing stages.

    Due to the non-proportional allocation of the sample to the different states and the possible differences in response rates, sampling weights were calculated, added to the data file, and applied so that the results would be representative at the national level as well as the domain level. Because the 2018 NDHS sample was a two-stage stratified cluster sample selected from the sampling frame, sampling weights were calculated based on sampling probabilities separately for each sampling stage and for each cluster.

    The survey was successfully carried out in 1,389 clusters after 11 clusters with deteriorating law-and-order situations during fieldwork were dropped. These areas were in Zamfara (4 clusters), Lagos (1 cluster), Katsina (2 clusters), Sokoto (3 clusters), and Borno (1 cluster). In the case of Borno, 11 of the 27 LGAs were dropped due to high insecurity, and therefore the results might not represent the entire state. Please refer to Appendix A in the final report for details.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    Four questionnaires were used for the 2018 NDHS: the Household Questionnaire, the Woman’s Questionnaire, the Man’s Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on The DHS Program’s standard Demographic and Health Survey (DHS-7) questionnaires, were adapted to reflect the population and health issues relevant to Nigeria. Comments were solicited from various stakeholders representing government ministries and agencies, nongovernmental organisations, and international donors. In addition, information about the fieldworkers for the survey was collected through a self-administered Fieldworker Questionnaire.

    The survey protocol was reviewed and approved by the National Health Research Ethics Committee of Nigeria (NHREC) and the ICF Institutional Review Board. After all questionnaires were finalised in English, they were translated into Hausa, Yoruba, and Igbo. The 2018 NDHS used computer-assisted personal interviewing (CAPI) for data collection.

    The Household Questionnaire listed all members of and visitors to selected households. Basic demographic information was collected on each person listed, including age, sex, marital status, education, and relationship to the head of the household. For children under age 18, survival status of parents was determined. Data on age, sex, and marital status of household members were used to identify women and men who were eligible for individual interviews. The Household Questionnaire also collected information on characteristics of the household’s dwelling unit, such as source of drinking water; type of toilet facilities; materials used for flooring, external walls, and roofing; ownership of various durable goods; and ownership of mosquito nets. In addition, data were gathered on salt testing and disability.

    The Woman’s Questionnaire was used to collect information from all eligible women age 15-49. These women were asked questions on the following topics: - Background characteristics (including age, education, and media exposure) - Birth history and child mortality - Knowledge, use, and source of family planning methods - Antenatal, delivery, and postnatal care - Vaccinations and childhood illnesses - Breastfeeding and infant feeding practices - Women’s minimum dietary diversity - Marriage and sexual activity - Fertility preferences (including desire for more children and ideal number of children) - Women’s work and husbands’ background characteristics - Knowledge, awareness, and behaviour regarding HIV/AIDS and other sexually transmitted infections (STIs) - Knowledge, attitudes, and behaviour related to other health issues (e.g., smoking) - Female genital cutting - Fistula - Adult and maternal mortality - Domestic violence

    The Man’s Questionnaire was administered to all men age 15-59 in the subsample of households selected for the men’s survey. The Man’s Questionnaire collected much of the same information as the Woman’s Questionnaire but was shorter because it did not contain a detailed reproductive history or questions on maternal and child health.

    The Biomarker Questionnaire was used to record the results of anthropometry measurements and other biomarkers for women and children. This questionnaire was administered only to the subsample selected for the men’s survey. All children age 0-59 months and all women age 15-49 were eligible for height and weight measurements. Women age 15-49 were also eligible for haemoglobin testing. Children age 6-59 months were also eligible for haemoglobin testing, malaria testing, and genotype testing for sickle cell disease.

    The purpose of the Fieldworker Questionnaire was to collect basic background information on the people who were collecting data in the field, including the team supervisor, field editor, interviewers, and the biomarker team

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TRADING ECONOMICS (2017). Nigeria Death Rate Crude Per 1 000 People [Dataset]. https://tradingeconomics.com/nigeria/death-rate-crude-per-1-000-people-wb-data.html

Nigeria Death Rate Crude Per 1 000 People

Explore at:
csv, xml, excel, jsonAvailable download formats
Dataset updated
May 28, 2017
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1976 - Dec 31, 2025
Area covered
Nigeria
Description

Actual value and historical data chart for Nigeria Death Rate Crude Per 1 000 People

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