Nigeria NG: Literacy Rate: Adult Female: % of Females Aged 15 and Above data was reported at 41.387 % in 2008. This records a decrease from the previous number of 43.322 % for 2003. Nigeria NG: Literacy Rate: Adult Female: % of Females Aged 15 and Above data is updated yearly, averaging 43.322 % from Dec 1991 (Median) to 2008, with 3 observations. The data reached an all-time high of 43.729 % in 1991 and a record low of 41.387 % in 2008. Nigeria NG: Literacy Rate: Adult Female: % of Females Aged 15 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: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above 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).

Yearly (annual) dataset of the Nigeria Adult Literacy Rate, including historical data, latest releases, and long-term trends from 1991-12-31 to 2021-12-31. Available for free download in CSV format.

Nigeria NG: Literacy Rate: Youth: % of People Age 15-24 data was reported at 66.384 % in 2008. This records a decrease from the previous number of 68.994 % for 2003. Nigeria NG: Literacy Rate: Youth: % of People Age 15-24 data is updated yearly, averaging 68.994 % from Dec 1991 (Median) to 2008, with 3 observations. The data reached an all-time high of 71.189 % in 1991 and a record low of 66.384 % in 2008. Nigeria NG: Literacy Rate: Youth: % of People Age 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. Youth literacy rate is the percentage of people 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).

Nigeria NG: Literacy Rate: Youth Female: % of Females Aged 15-24 data was reported at 57.954 % in 2008. This records a decrease from the previous number of 60.509 % for 2003. Nigeria NG: Literacy Rate: Youth Female: % of Females Aged 15-24 data is updated yearly, averaging 60.509 % from Dec 1991 (Median) to 2008, with 3 observations. The data reached an all-time high of 62.488 % in 1991 and a record low of 57.954 % in 2008. Nigeria NG: Literacy Rate: Youth Female: % of Females 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. Youth literacy rate is the percentage of people 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).

Nigeria - Regional Education Access

  Dataset Description

Regional education access metrics including literacy rates and school density.

  Dataset Information

Country: Nigeria Dataset Name: regional_education_access Total Records: 100,000 Total Columns: 10 File Size: 6.70 MB Format: Parquet (full data), CSV (sample) Generated: 2025-10-21T23:15:14.009597

  Schema

Column Data Type Description

region_id object Region Id

region_name object… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/nigeria-education-regional-education-access.

Nigeria NG: Literacy Rate: Adult: % of People Aged 15 and Above data was reported at 51.078 % in 2008. This records a decrease from the previous number of 54.773 % for 2003. Nigeria NG: Literacy Rate: Adult: % of People Aged 15 and Above data is updated yearly, averaging 54.773 % from Dec 1991 (Median) to 2008, with 3 observations. The data reached an all-time high of 55.447 % in 1991 and a record low of 51.078 % in 2008. Nigeria NG: Literacy Rate: Adult: % of People Aged 15 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: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above 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).

Nigeria NG: Literacy Rate: Adult Male: % of Males Aged 15 and Above data was reported at 61.254 % in 2008. This records a decrease from the previous number of 66.767 % for 2003. Nigeria NG: Literacy Rate: Adult Male: % of Males Aged 15 and Above data is updated yearly, averaging 66.767 % from Dec 1991 (Median) to 2008, with 3 observations. The data reached an all-time high of 67.654 % in 1991 and a record low of 61.254 % in 2008. Nigeria NG: Literacy Rate: Adult Male: % of Males Aged 15 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: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above 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).

Nigeria NG: Literacy Rate: Youth Male: % of Males Aged 15-24 data was reported at 75.566 % in 2008. This records a decrease from the previous number of 78.128 % for 2003. Nigeria NG: Literacy Rate: Youth Male: % of Males Aged 15-24 data is updated yearly, averaging 78.128 % from Dec 1991 (Median) to 2008, with 3 observations. The data reached an all-time high of 81.356 % in 1991 and a record low of 75.566 % in 2008. Nigeria NG: Literacy Rate: Youth Male: % of Males 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. Youth literacy rate is the percentage of people 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).

1 Nigerian Bureau of Statistics, Nigeria: Social Statistics of Nigeria, 20122 IDEAS baseline survey3 The National Literacy Survey, June 2010, National Bureau of Statistics, Nigeria. www.nigerianstat.gov.ng4 Nigerian Demographic and Health Survey preliminary report, 2013 http://dhsprogram.com/pubs/pdf/PR41/PR41.pdf5 UNICEF (2011) Country factsheets. www.unicef.org/infobycountry/ethiopia_statistics.html6 Indian population Census 2011, www.census2011.co.in/census/state/uttarpradesh.html7http://www.unicef.org/nigeria/ng_publications_advocacybrochure.pdf[for north east Nigeria as a whole]8 United Nations Maternal Mortality Estimation Inter-agency group http://www.maternalmortalitydata.org/9 Annual health survey bulletin 2011–12: Uttar Pradesh. http://www.censusindia.gov.in/vital_statistics/AHSBulletins/files2012/Uttar%20Pradesh_Bulletin%202011-12.pdf10 Population Reference Bureau at http://www.un.org/esa/population/meetings/EGM-Fertility2009/Haub.pdf11Annual Abstract of Statistics 2011, National Bureau of Statistics, Nigeria.Descriptive statistics for geographies included in this analysis.

Abstract

To facilitate the use of data collected through the high-frequency phone surveys on COVID-19, the Living Standards Measurement Study (LSMS) team has created the harmonized datafiles using two household surveys: 1) the country’ latest face-to-face survey which has become the sample frame for the phone survey, and 2) the country’s high-frequency phone survey on COVID-19.

The LSMS team has extracted and harmonized variables from these surveys, based on the harmonized definitions and ensuring the same variable names. These variables include demography as well as housing, household consumption expenditure, food security, and agriculture. Inevitably, many of the original variables are collected using questions that are asked differently. The harmonized datafiles include the best available variables with harmonized definitions.

Two harmonized datafiles are prepared for each survey. The two datafiles are: 1. HH: This datafile contains household-level variables. The information include basic household characterizes, housing, water and sanitation, asset ownership, consumption expenditure, consumption quintile, food security, livestock ownership. It also contains information on agricultural activities such as crop cultivation, use of organic and inorganic fertilizer, hired labor, use of tractor and crop sales.
2. IND: This datafile contains individual-level variables. It includes basic characteristics of individuals such as age, sex, marital status, disability status, literacy, education and work.

Geographic coverage

National coverage

Analysis unit

• Households
• Individuals

Universe

The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.

Kind of data

Sample survey data [ssd]

Sampling procedure

See “Nigeria - General Household Survey, Panel 2018-2019, Wave 4” and “Nigeria - COVID-19 National Longitudinal Phone Survey 2020” available in the Microdata Library for details.

Mode of data collection

Computer Assisted Personal Interview [capi]

Cleaning operations

Nigeria General Household Survey, Panel (GHS-Panel) 2018-2019 and Nigeria COVID-19 National Longitudinal Phone Survey (COVID-19 NLPS) 2020 data were harmonized following the harmonization guidelines (see “Harmonized Datafiles and Variables for High-Frequency Phone Surveys on COVID-19” for more details).

The high-frequency phone survey on COVID-19 has multiple rounds of data collection. When variables are extracted from multiple rounds of the survey, the originating round of the survey is noted with “_rX” in the variable name, where X represents the number of the round. For example, a variable with “_r3” presents that the variable was extracted from Round 3 of the high-frequency phone survey. Round 0 refers to the country’s latest face-to-face survey which has become the sample frame for the high-frequency phone surveys on COVID-19. When the variables are without “_rX”, they were extracted from Round 0.

Response rate

See “Nigeria - General Household Survey, Panel 2018-2019, Wave 4” and “Nigeria - COVID-19 National Longitudinal Phone Survey 2020” available in the Microdata Library for details.

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).

The Northern Education Initiative Plus (NEIPlus) is a project that aimed to improve early grade literacy in Hausa and English in two of Nigeria’s northern states, Bauchi and Sokoto. Hausa is the mother tongue of most pupils in these states and the language of instruction of most schools. The data presented is from NEIPlus’s midline, conducted in 2018. Primary 2 (P2) and Primary 3 (P3) pupils were sampled. P2 and P3 are the equivalent of Grades 2 and 3, respectively.

Pupils were administered an Early Grade Reading Assessment (EGRA); P2 pupils were assessed on Hausa literacy, while P3 pupils were assessed on their Hausa and English literacy. After taking the EGRA, pupils took a context survey to gather information about the situation of their homes and schools. The results from the context survey are within the EGRA dataset. Head teachers and teachers at these schools were interviewed about their schools and pedagogical beliefs. At each school, one reading lesson was observed.

BackgroundElectronic health (eHealth) literacy may play an important role in individuals’ engagement with online mental health-related information.AimTo examine associations between eHealth literacy and psychological outcomes among Nigerians during the Coronavirus disease-2019 (COVID-19) pandemic.MethodsThis was a cross-sectional study among Nigerians conducted using the ‘COVID-19’s impAct on feaR and hEalth (CARE) questionnaire. The exposure: eHealth literacy, was assessed using the eHealth literacy scale, and psychological outcomes were assessed using the PHQ-4 scale, which measured anxiety and depression; and the fear scale to measure fear of COVID-19. We fitted logistic regression models to assess the association of eHealth literacy with anxiety, depression, and fear, adjusting for covariates. We included interaction terms to assess for age, gender, and regional differences. We also assessed participants’ endorsement of strategies for future pandemic preparedness.ResultsThis study involved 590 participants, of which 56% were female, and 38% were 30 years or older. About 83% reported high eHealth literacy, and 55% reported anxiety or depression. High eHealth literacy was associated with a 66% lower likelihood of anxiety (adjusted odds ratio aOR, 0·34; 95% confidence interval, 0·20–0·54) and depression (aOR: 0·34; 95% CI, 0·21–0·56). There were age, gender, and regional differences in the associations between eHealth literacy and psychological outcomes. eHealth-related strategies such as medicine delivery, receiving health information through text messaging, and online courses were highlighted as important for future pandemic preparedness.ConclusionConsidering that mental health and psychological care services are severely lacking in Nigeria, digital health information sources present an opportunity to improve access and delivery of mental health services. The different associations of e-health literacy with psychological well-being between age, gender, and geographic region highlight the urgent need for targeted interventions for vulnerable populations. Policymakers must prioritize digitally backed interventions, such as medicine delivery and health information dissemination through text messaging, to address these disparities and promote equitable mental well-being.

The datasheet about vehicle ownership and the eleven determinants factors was used to forecast vehicle ownership in Nigeria up 2050. They consist of socioeconomic and physical factors which covered a period of 40 years. These time series data were as follows: stock of vehicle, gross domestic product, inflation rate, price of fuel, length of roads, accident cases, literacy level and rate of urbanization. Others include stock of public transport vehicles, unemployment, per capita income, and population.

Purpose: Cross-culturally adapt and validate the Igbo Roland Morris Disability Questionnaire. Method: Cross-cultural adaptation, test–retest, and cross-sectional psychometric testing. Roland Morris Disability Questionnaire was forward and back translated by clinical/non-clinical translators. An expert committee appraised the translations. Twelve participants with chronic low back pain pre-tested the measure in a rural Nigerian community. Internal consistency using Cronbach’s alpha; test–retest reliability using intra-class correlation coefficient and Bland–Altman plot; and minimal detectable change were investigated in a convenient sample of 50 people with chronic low back pain in rural and urban Nigeria. Pearson’s correlation analyses using the eleven-point box scale and back performance scale, and exploratory factor analysis were used to examine construct validity in a random sample of 200 adults with chronic low back pain in rural Nigeria. Ceiling and floor effects were investigated in the two samples. Results: Modifications gave the option of interviewer-administration and reflected Nigerian social context. The measure had excellent internal consistency (α = 0.91) and intraclass correlation coefficient (ICC =0.84), moderately high correlations (r > 0.6) with performance-based disability and pain intensity, and a predominant uni-dimensional structure, with no ceiling or floor effects. Conclusions: Igbo Roland Morris Disability Questionnaire is a valid and reliable measure of pain-related disability.Implications for rehabilitationLow back pain is the leading cause of years lived with disability worldwide, and is particularly prevalent in rural Nigeria, but there are no self-report measures to assess its impact due to low literacy rates. This study describes the cross-cultural adaptation and validation of a core self-report back pain specific disability measure in a low-literate Nigerian population.The Igbo Roland Morris Disability Questionnaire is a reliable and valid measure of self-reported disability in Igbo populations as indicated by excellent internal consistency (α = 0.91) and intra-class correlation coefficient (ICC =0.84), moderately high correlations (r > 0.6) with performance-based disability and pain intensity that supports a pain-related disability construct, a predominant one factor structure with no ceiling or floor effects.The measure will be useful for researchers and clinicians examining the factors associated with low back pain disability or the effects of interventions on low back pain disability in this culture. This measure will support global health initiatives concurrently involving people from several cultures or countries, and may inform cross-cultural disability research in other populations. Low back pain is the leading cause of years lived with disability worldwide, and is particularly prevalent in rural Nigeria, but there are no self-report measures to assess its impact due to low literacy rates. This study describes the cross-cultural adaptation and validation of a core self-report back pain specific disability measure in a low-literate Nigerian population. The Igbo Roland Morris Disability Questionnaire is a reliable and valid measure of self-reported disability in Igbo populations as indicated by excellent internal consistency (α = 0.91) and intra-class correlation coefficient (ICC =0.84), moderately high correlations (r > 0.6) with performance-based disability and pain intensity that supports a pain-related disability construct, a predominant one factor structure with no ceiling or floor effects. The measure will be useful for researchers and clinicians examining the factors associated with low back pain disability or the effects of interventions on low back pain disability in this culture. This measure will support global health initiatives concurrently involving people from several cultures or countries, and may inform cross-cultural disability research in other populations.

Predictors of Health Literacy amongst respondents.

Nigeria NG: SPI: Pillar 5 Data Infrastructure Score: Scale 0-100 data was reported at 40.000 NA in 2022. This stayed constant from the previous number of 40.000 NA for 2021. Nigeria NG: SPI: Pillar 5 Data Infrastructure Score: Scale 0-100 data is updated yearly, averaging 40.000 NA from Dec 2016 (Median) to 2022, with 7 observations. The data reached an all-time high of 40.000 NA in 2022 and a record low of 35.000 NA in 2020. Nigeria NG: SPI: Pillar 5 Data Infrastructure Score: Scale 0-100 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: Governance: Policy and Institutions. The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

Regression coefficients for predictors of the probability of seeking traditional remedies.