Gombe

Accommodation Services of Nigeria

Data is available for the 17 countries covered by the SWAC/OECD (Benin, Burkina Faso, Cabo Verde, Chad, Cote d'Ivoire, The Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal, Sierra Leone and Togo).   Agglomerated population: Population of urban agglomerations above 10 000 inhabitants.

Data cited at: https://dataportal.opendataforafrica.org/rtufdnc/social This Dataset describes the list of common indicators from census datasets of African countries.

In May 2023, the headline inflation rate increased to 22.41% relative to April 2023 headline inflation rate which was 22.22%. Looking at the movement, the May 2023 inflation rate showed an increase of 0.19% points when compared to April 2023 headline inflation rate. Similarly, on a year-on-year basis, the headline inflation rate was 4.70% points higher compared to the rate recorded in May 2022, which was (17.71%). This shows that the headline inflation rate (year-on-year basis) increased in the month of May 2023 when compared to the same month in the preceding year (i.e., May 2022). On a year-on-year basis, the headline inflation rate was 4.70% points higher compared to the rate recorded in May 2022, which was (17.71%). This shows that the headline inflation rate (year-on-year basis) increased in the month of May 2023 when compared to the same month in the preceding year (i.e., May 2022).

Data cited at: https://nigeria.opendataforafrica.org/yzqsxpd

Operating unit-level results for 2016 and prior years represent aggregated totals. For 2015 and 2016, results are available at the subnational level. For 2014 results and prior, the data can only be viewed and explored in aggregate country or regional form. General patterns can be explored for all results, allowing the investigation of trends within and among different operating units. Some variation exists between indicator versions from PEPFAR during 2004-2010, 2011-2014, and 2015-2016. More detail regarding these differences can be found in the indicator reference documents and in reference materials attached to this dashboard.

These Community Mobility Reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19. The reports chart movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Data cited at: https://nigeria.opendataforafrica.org/cgijuze Crime Statistics on reported offences reflected that a total of 125,790 cases were reported in 2016. Offence against property has the highest number of cases reported with 65,397 of such cases reported. Offence against persons recorded 45,554 cases reported while offence against lawful authority and local acts recorded the least with 12,144 and 2,695 cases recorded respectively. Lagos State has the highest percentage share of total cases reported with 36.08% and 45,385 cases recorded. FCT Abuja and Delta State followed closely with 10.48% and 13,181 and 6.25% and 7,867 cases recorded respectively. Katsina State has the lowest percentage share of total cases reported with 0.10% and 120 cases recorded. Abia and Zamfara States followed closely with 0.29% and 364 and 0.38% and 483 cases recorded respectively.

Demographic Statistics of Nigeria

Data cited at: https://nigeria.opendataforafrica.org/NGNADOP2016 Distribution of Population in National Assembly, Nigeria 2012

Data cited at: https://nigeria.opendataforafrica.org/ivdkdag

Employment in Micro, Macro and Medium Enterprises (MSME) of Nigeria

Data cited at: https://nigeria.opendataforafrica.org/yekjgle Federal Accounts Allocation Committee

Selected food price watch data shows how the food prices are moving over the months and which item has higher movement.So it gives idea for food inflation.Selected food price watch data for December 2017 reflected that the average price of 1 dozen of Agric eggs medium size increased year-on-year by 12.40% and month-on-month by 6.76% to N494.43 in December 2017 from N463.11 in November 2017 while the average price of piece of Agric eggs medium size(price of one) increased year-on-year by 4.88% and month-on-month by 1.24% to N41.32 in December 2017 from N40.82 in November 2017.

Data citation: Data retrieved from the Area Database of the Global Data Lab, https://globaldatalab.org/areadata/, version v4.2.Smits, J. GDL Area Database. Sub-national development indicators for research and policy making. GDL Working Paper 16-101 (2016).

General Elections and Political Officies of Nigeria, 2011

Data cited at: https://nigeria.opendataforafrica.org/NGGHHSP2017

Geolocation of urban agglomerations in West Africa.

Health Facilities in Nigeria by Type and Level of care

At the national level the total household expenditure on food and non-food for 2019 was N40,207,388,459,367 (N21,620,601,543,613.90 in 2009/10). Of this total, 56.65% (60.2% in 2009/10) of total household expenditure in 2019 was spent on food with the balance of about 43.35% (39.8 % in 2009/10) spent on non-food items. Food consumed outside the home, followed by transportation costs and starchy roots, tubers and plantains were responsible for the largest proportion of household expenditure representing a combined 24.16 percent of total household expenditure in 2019.

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Data cited at: https://nigeria.opendataforafrica.org/iynrgrf

This Dataset shows the modelled parasite rate for Plasmodium falciparum for the years 2000-2015 for all African countries where it is endemic. The Dataset shows the percentage of 2-10 year olds infected by the parasite for each year.

Data cited at: https://nigeria.opendataforafrica.org/zvbmbhe   TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian  TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITEEnable collaborative features and customize widget: Bing Webmaster PortalBack

Federal Inland Revenue Service of Nigeria,

Data cited at: https://nigeria.opendataforafrica.org/NGJOBCRTDR2016 Jobs Created, Nigeria

Abridged Labor Force Survey Under Covid-19 

Length of Federal Roads of Nigeria, 2014

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Manufacturing Sector of Nigeria, 2012

Data cited at: https://nigeria.opendataforafrica.org/bxlwtnd

Data cited at: https://nigeria.opendataforafrica.org/NBSMDG2016

Data cited at: https://nigeria.opendataforafrica.org/zdejvjb

MSMEs Contribution to National GDP of Nigeria, 2013

Data cited at: https://nigeria.opendataforafrica.org/sttzqvd The National Examination Council (NECO) Data from 2013 to 2016 reflected that a total 870,397 candidates sat for the examination in June/July 2016 as against 969,490 in corresponding period in 2015. 504,515 of the candidates were male while the remaining 365,882 were female. Similarly, a total 47,118 candidates sat for the examination in November/December 2016 as against 49,084 in corresponding period in 2015. 19,772 of the candidates were male while the remaining 27,346 were female.

Data cited at: https://nigeria.opendataforafrica.org/efduknf

Table 1: Statistics of Drivers Licenses Processed per State and by Year (2013 - 2015) Table 2: Statistics of Number Plate Produced per State and type by Year (2013-2015)

Data cited at: https://nigeria.opendataforafrica.org/utzhpe

Data cited at: https://nigeria.opendataforafrica.org/NGPETDAT2016

 

Postharvest loss profiles (PHL profiles) quantify the expected loss – as a percentage – at each point along the postharvest chain. This loss data is collected by reviewing scientific literature and is broken down by crop, type of farm and climate type (based on the Köppen-Geiger climate classification). These profiles provide percentage loss figures for the various crops throughout the value chain under varying conditions and are updated as new research becomes available."   For complete reference information and definitions, Please visit: https://www.aphlis.net/en/page/20/data-tables#/datatables?year=20&tab=references&metric=prc

Data cited at: https://nigeria.opendataforafrica.org/jaujkbb

Small and Medium Enterprises of Nigeria

Notes:- I. In 2017, the nominal gross domestic product for the 22 states (for which data is currently available) stood at N63.8trillion, or 56% of Nigeria nominal gross domestic product in that year. ii. By sector, the 22 states accounted for 57%, 77% and 48% of agriculture, industry and services GDP at the national level respectively. Among the 22 states, however, services sector accounted for 67%, while agriculture accounted for 22% and industry, 11%. iii. Among the 22 states, FCT had the highest gross domestic product at N10.6 trillion, or 17% of total states GDP. This was followed by Akwa-Ibom and Rivers States, each with 8% of total states GDP . iv. In the FCT, services accounted for 81% of GDP while industry and agriculture accounted for 18% and 10% respectively. In Akwa-Ibom, however, industry accounted for 65% while services and agriculture accounted for 19% and 16% respectively. v. Across the 22 states, the non-oil sector represented 98% of total states GDP while the oil sector accounted for only 2%. vi. The 6 states with the highest nominal GDP in 2017 – FCT, Akwa-Ibom, Rivers, Delta, Bayelsa, Anambra – accounted for about 50% of the total states GDP, or 27% of Nigeria nominal GDP, in 2017.”

This dataset provides data on literacy rates, primary and secondary school attendance rates access to improved water and sanitation, household access to electricity, and household ownership of radio and television. Unlike other datasets, notably the World Bank’s World Development Indicators (WDI), this dataset provides data at the subnational level, specifically the first administrative district level. Furthermore, the data is comparable both within and across countries. This subnational level of data allows for assessment of education and household characteristics at a more relevant level for allocation of resources and targeting development interventions.