CPIA gender equality rating (1=low to 6=high) in Nigeria was reported at 3 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - CPIA gender equality rating (1=low to 6=high) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Nigeria NG: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data was reported at 0.767 Ratio in 2008. This records a decrease from the previous number of 0.774 Ratio for 2003. Nigeria NG: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data is updated yearly, averaging 0.768 Ratio from Dec 1991 (Median) to 2008, with 3 observations. The data reached an all-time high of 0.774 Ratio in 2003 and a record low of 0.767 Ratio in 2008. Nigeria NG: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Education Statistics. Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

SG.DMK.PRCH.OT.ZS. Decision maker about major household purchases: other is Percentage of currently married women aged 15-49 for whom the decision maker for major household purchases is recorded as 'other' The Gender Statistics database is a comprehensive source for the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.

Population, female (% of total population) in Nigeria was reported at 49.43 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Nigeria NG: CPIA: Gender Equality Rating: 1=Low To 6=High data was reported at 3.000 NA in 2017. This stayed constant from the previous number of 3.000 NA for 2016. Nigeria NG: CPIA: Gender Equality Rating: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 3.000 NA in 2017 and a record low of 3.000 NA in 2017. Nigeria NG: CPIA: Gender Equality Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Policy and Institutions. Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;

School enrollment, secondary (gross), gender parity index (GPI) in Nigeria was reported at 0.95155 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Ratio of female to male secondary enrollment - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Nigeria NG: Population: Female: Aged 65 and Above data was reported at 2,757,975.000 Person in 2017. This records an increase from the previous number of 2,680,955.000 Person for 2016. Nigeria NG: Population: Female: Aged 65 and Above data is updated yearly, averaging 1,441,973.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2,757,975.000 Person in 2017 and a record low of 714,186.000 Person in 1960. Nigeria NG: Population: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Population and Urbanization Statistics. Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Adolescent fertility rate (births per 1,000 women ages 15-19) in Nigeria was reported at 86.43 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Adolescent fertility rate (births per 1,000 women ages 15-19) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Nigeria NG: Population: as % of Total: Female: Aged 15-64 data was reported at 53.489 % in 2017. This records an increase from the previous number of 53.397 % for 2016. Nigeria NG: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 53.474 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 55.697 % in 1960 and a record low of 52.122 % in 1987. Nigeria NG: Population: as % of Total: Female: Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

School enrollment, primary (gross), gender parity index (GPI) in Nigeria was reported at 1.01 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Ratio of female to male primary enrollment - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National Coverage. Sample excludes the states of Adamawa, Borno, and Yobe because of security concerns. These states represent 4.5% of the population.

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in Nigeria was 1,000 individuals.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

Abstract

Feed the Future Nigeria Livelihoods Project (FNLP) is a multi-component development project based on the graduation model pioneered by Bangladesh Rural Advancement Committee (BRAC) that intends to help 42,000 very poor households across rural communities of northern Nigeria’s Sokoto and Kebbi states, and the Federal Capital Territory (FCT). FNLP is a 5-year program implemented by Catholic Relief Services (CRS). Both the program and the impact evaluation are funded by United States Agency for International Development (USAID).

This program approach is founded on an agriculture-led growth strategy that is expected to help vulnerable families diversify their income and grow assets while the community is strengthened by improving nutrition, water sanitation, and hygiene. The most vulnerable families receive cash transfers. A caseworker-led livelihood mentoring scheme also matches households with the resources they need to engage effectively in the local economy and break free from the cycle of poverty and malnutrition.

The impact evaluation, led by The World Bank’s Africa Gender Innovation Lab (GIL), is being conducted in Kebbi state in North-West Nigeria and will evaluate the impact of the overall program as well as two experiments that focus on the impact of the cash transfers and the caseworker mentoring scheme. Baseline data was collected for the FNLP starting in May 2015.

Geographic coverage

The impact evaluation was conducted in Kebbi state in two Local Government Authorities (LGAs) Birnin Kebbi and Danko Wasagu across eight wards: Ujariyo/Junju, Lagga/Randalli, Kardi, Makera/Maurida, Kanya, Ribah/Waje, Maga/Kyabu and Danko.

Analysis unit

• Households

Universe

Households in both FNLP villages and villages not receiving FNLP services but are part of the control group for the impact evaluation.

Kind of data

Sample survey data [ssd]

Sampling procedure

To determine which areas within Kebbi State would benefit from the FNLP program and to establish a sample of vulnerable households that will be part of the program and impact evaluation, CRS and GIL identified eligible communities and households in Kebbi using a number of steps. Detailed explanations of each stage in the process are provided in the baseline report (Attached in the Related Materials).

For the Impact Evaluation baseline survey, a sample of 2,400 EV households and 1,100 households equally divided between the VV and ML households was necessary based on power calculations. We sampled 2,074 of the ‘Class B’ households in FNLP treatment villages and 2,254 from FNLP control villages and sent this sample of 4,328 households to the survey firm to conduct a baseline survey.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

For the baseline survey, three instruments were used for data collection:

1. Household questionnaire: The household questionnaire was administered to all households in the sample and collected demographic characteristics for all household members, information on dwelling characteristics, household consumption expenditures, household asset holdings, aspirations, exposure to shocks, and level of participation in safety net programs. In addition, individual-level questions around food security, risk aversion, and time preferences were asked to both the male and female decision-makers in the households.

2. Women’ questionnaire: Women were also asked to respond to a separate Women’s Survey that had questions based on the Women’s Empowerment in Agriculture Index (WEAI).

3. Agricultural questionnaire: An agriculture questionnaire was administered to all households engaged in agricultural activities such as crop farming, livestock rearing and other agricultural and related activities. The instrument asked questions on land holdings, agriculture production, sales, agricultural income and level of participation in extension services programs. Plot-level information was collected from the male and female decision-makers in the households who were the target respondents for this questionnaire.

4. Community questionnaire: A community questionnaire was administered to each village to collect information on the socio-economic indicators of the village communities where the sampled households reside. The community questionnaire collected information on basic characteristics of the community such as location, size, distance to larger towns and markets, and availability of and distance to sources of health services and schools. Data was collected from 5-10 community members during the Household Targeting Committee meetings.

Cleaning operations

Data quality was ensured at several levels. At the tablet level, the questionnaire was programmed so that questions or sections could not be skipped by interviewers. Numerous quality checks were also built into the programming that identified inconsistencies and prevented interviewers from moving forward with the survey until errors were corrected. Logic checks and range checks were also included in the programming so that implausible entries were flagged to the interviewer at the time of surveying.

Monitoring of data collection activities was also conducted by several people. Supervisors monitored interviewer performance by observing interviews and conducting spot checks that consisted of assessing whether questions were being asked appropriately and providing immediate feedback to interviewers. The World Bank’s Project Manager and Field Coordinator also provided another layer of quality control, visiting each interviewer team at least twice each week to observe interviews and review household listings.

A final level of data quality control involved the use of quality control reports that were automatically generated using a quality-check file created by the research team at the World Bank. The file would scan the data for possible errors or large outliers as soon as data was downloaded from the server. The types of checks the file would make included the following: whether the household identifiers were unique within the dataset, whether interviews were being completed in their entirety, reviewing observations with duplicate values of a variable for which duplicates are uncommon, checking that no variables have only missing values, checking important skip patterns, range checks and interviewer comments. This helped with data accuracy as the report was reviewed at least every week by the research team throughout the data collection period and any errors could be sent back to the field team and rectified in real time while the data collection was still taking place.

Response rate

The number of household interviews completed was 3,976 for a household response rate of 92 percent.

Nigeria NG: Gender Parity Index (GPI): Primary and Secondary School Enrollment: Gross data was reported at 0.952 Ratio in 2013. This records a decrease from the previous number of 0.954 Ratio for 2012. Nigeria NG: Gender Parity Index (GPI): Primary and Secondary School Enrollment: Gross data is updated yearly, averaging 0.812 Ratio from Dec 1970 (Median) to 2013, with 30 observations. The data reached an all-time high of 0.954 Ratio in 2012 and a record low of 0.582 Ratio in 1970. Nigeria NG: Gender Parity Index (GPI): Primary and Secondary School Enrollment: Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Education Statistics. Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Literacy rate, youth (ages 15-24), gender parity index (GPI) in Nigeria was reported at 0.8878 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Ratio of young literate females to males (% ages 15-24) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Nigeria NG: Gender Parity Index (GPI): Primary School Enrollment: Gross data was reported at 0.975 Ratio in 2013. This records an increase from the previous number of 0.974 Ratio for 2012. Nigeria NG: Gender Parity Index (GPI): Primary School Enrollment: Gross data is updated yearly, averaging 0.813 Ratio from Dec 1970 (Median) to 2013, with 40 observations. The data reached an all-time high of 0.975 Ratio in 2013 and a record low of 0.597 Ratio in 1970. Nigeria NG: Gender Parity Index (GPI): Primary School Enrollment: Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Education Statistics. Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Nigeria NG: Population: as % of Total: Female: Aged 65 and Above data was reported at 2.929 % in 2017. This records an increase from the previous number of 2.922 % for 2016. Nigeria NG: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 3.127 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.220 % in 1963 and a record low of 2.908 % in 2015. Nigeria NG: Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Nigeria NG: Women Who were First Married by Age 15: % of Women Aged 20-24 data was reported at 17.300 % in 2013. This records a decrease from the previous number of 18.800 % for 2003. Nigeria NG: Women Who were First Married by Age 15: % of Women Aged 20-24 data is updated yearly, averaging 18.800 % from Dec 1990 (Median) to 2013, with 3 observations. The data reached an all-time high of 26.700 % in 1990 and a record low of 17.300 % in 2013. Nigeria NG: Women Who were First Married by Age 15: % of Women Aged 20-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Population and Urbanization Statistics. Women who were first married by age 15 refers to the percentage of women ages 20-24 who were first married by age 15.; ; Demographic and Health Surveys (DHS); ;

Prevalence of anemia among women of reproductive age (% of women ages 15-49) in Nigeria was reported at 55.1 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Prevalence of anemia among women of reproductive age (% of women ages 15-49) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Pregnant women receiving prenatal care (%) in Nigeria was reported at 67 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Pregnant women receiving prenatal care - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.