In 2023, men in Nigeria were slightly more likely to have access to financial services than women. With a total share of ** percent, men had access to financial services through banks (** percent), non-bank services (** percent), and informal financial services (**** percent). By comparison, ** percent of women had access to formal banked and non-bank services while ** percent exclusively used informal financial services.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

The states of Adamawa, Borno, and Yobe were excluded for safety and security reasons. These states represent 7 percent of the total population.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

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. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Nigeria is 1000.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

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 Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

In 2023, the use of digital payments for goods and services in Nigeria reached ** percent of the country's population. This was a significant increase compared to 2020 when the share was nearly ** percent. On the other hand, the population that received digital income payments was ** percent in 2023. This was only one percentage point higher than in 2020.

As of January 2024, about ** percent of the Nigerian population aged 15 years and older reported having an account with a financial institution, while *** percent used mobile money accounts. The percentage of individuals owning a credit card was much lower, at approximately *** percent. Overall, the presence of financial institutions across the country has boosted the use of financial services among the population. Banks in the lead As of 2023, Zenith Bank and Access Bank were the main banking service providers in Nigeria in terms of total assets and tier-one capital. The latter comprises capital, reserves, retained income, and minority interests. In the said year, Access Bank registered total assets reaching over **** billion U.S. dollars, while tier-one capital for Zenith Bank amounted to around *** billion U.S. dollars. Other leading banks in Nigeria include United Bank of Africa and Guaranty Trust Bank, as, together with the aforementioned banks, they report some of the highest total net profits in the country. Employment in banking grows minimally Since the first quarter of 2018, employment in Nigeria's banking sector has generally been decreasing. In the fourth quarter of 2020, the growth rate of bank employees in the country declined by *** percent, compared to an increase of about **** percent in the second quarter of 2018. Specifically, contract and junior staff count some of Nigeria’s highest numbers of bank employees. As of the fourth quarter of 2020, there were more than ****** contract workers and ****** junior staff in the sector. Overall, banking accounts for over ****** of the nation's employee base, a relatively low share of less than *** percent.

Nigeria NG: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Female: % of Population Aged 15+ data was reported at 27.277 % in 2017. This records a decrease from the previous number of 34.022 % for 2014. Nigeria NG: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Female: % of Population Aged 15+ data is updated yearly, averaging 27.277 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 34.022 % in 2014 and a record low of 25.990 % in 2011. Nigeria NG: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Female: % of Population Aged 15+ 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: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (female, % age 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Financial Inclusion (FI) is one of the most important indicators of inclusive growth of an economy. This paper examines the status of FI in India by constructing a comprehensive financial inclusion index (FII). The data analysis indicates that states such as Goa, Kerala, Tamil Nadu, Maharashtra, and Telangana performed well in FI. Further, a panel data regression model is estimated to know the determinants of financial inclusion in 27 Indian States for the period 2005 to 2020. The composite index can be used to monitor and assess financial inclusion over time and at the grass root level also. The estimated results show that per capita NSDP, literacy rate, urban population share, road length, and number of factories are perhaps the most important financial inclusion determinants. The novelty of this study is to provide a comprehensive understanding of financial inclusion levels across different states in India for two-decade period along with rural and urban financial inclusion levels. The study serves as a critical resource for understanding the dynamics of financial inclusion in India for the two decades period and offers valuable insights for policymakers by identifying key determinants and guide the development of targeted policies aimed at improving financial inclusion, which is essential for economic growth and development.

Informal nonfarm household enterprise employments in nigeria—Percentage share and productivity differences (2010–2015).

According to Cognitive Market Research, the global Central Issuance Card Equipment market size was USD 1,431.05 million in 2024 and will expand at a compound annual growth rate (CAGR) of 5.49% from 2024 to 2031.

North America accounted for a share of 31.40% in 2024.
Europe accounted for a share of 27.81% in 2024. 
Asia Pacific accounted for a share of 37.85% in 2024
South America accounted for a share of 1.29% in 2024
Middle East & Africa accounted for a share of 1.65% in 2024

Driver

The growing need for financial inclusion and the surge in card usage for payments is fuelling the expansion of the global central issuance card equipment market

The growing need to provide banking services to underserved or unbanked populations, coupled with the increasing adoption of digital payments globally, is fueling the demand for cost-effective card issuance systems. This trend is particularly pronounced in emerging markets such as Nigeria, India, and Brazil. In these countries, the drive to expand financial inclusion has led to a significant increase in the distribution of debit and prepaid cards. Central issuance card equipment enables financial institutions to quickly issue cards at scale for their growing customer base, facilitating access to financial services for millions. As consumers increasingly turn to digital payment methods for online shopping, the need for banks and payment processors to issue cards quickly and securely becomes critical. Centralized card issuance systems provide a reliable and efficient way for financial institutions to meet the growing demand for new and replacement cards in this expanding digital economy. In conclusion, the convergence of financial inclusion efforts, digital payment adoption, fintech growth, and e-commerce expansion is driving the rapid growth of the global central issuance card equipment market. As emerging markets continue to prioritize financial inclusion and digital payment systems, and as e-commerce continues to surge, centralized card issuance technology will remain an essential tool for financial institutions worldwide, ensuring continued growth in this market.

Restraint

High Initial Investment, Operational Costs, and Regulatory Compliance, acts as a restraint for the growth of the market.

The global central issuance card equipment market is experiencing significant growth, driven by the increasing adoption of secure and efficient card systems across banking, fintech, and retail sectors. However, a major restraint hindering this growth is the high initial investment and operational costs associated with acquiring, maintaining, and upgrading central issuance card equipment. Small and medium-sized enterprises (SMEs), particularly in developing markets, find it difficult to invest in such high-end technology. This poses challenges for scaling card issuance operations efficiently, limiting the potential market for this equipment. These barrier acts as a major restraint, preventing many potential adopters from entering the market and impeding the overall growth of the global central issuance card equipment market. Introduction

The global central issuance card equipment market plays a vital role in the secure identification and payment solutions industry. This market includes various machines designed for large-scale production and personalization of smart cards, including credit/debit cards, government-issued IDs, healthcare cards, and commercial access cards. These systems facilitate centralized issuance, ensuring cards are produced in a controlled and secure environment before distribution to users. Key innovations are shaping the market, including contactless payment integration, which enables users to make fast and seamless transactions by tapping their cards on a reader. As demand for quick and convenient payments grows, central card issuance solutions are evolving to support contactless technology more effectively. Another major trend is the adoption of blockchain and tokenization to enhance security. Tokenization replaces sensitive card data with encrypted tokens, preventing cyber threats, while blockchain ensures transparency and security in transactions. The rise of mobile wallets and digital card issuance has also transformed the industry, allowing banks and fintech companies to issue virtual cards instantly via mobile apps. These solutions enable users to manage both physical and digital cards from a si...

A List of top 30 Listed companies on Nigeria Stock Exchange as at April 2018 with their Capitalization Value and Ranking. We also Include a computation of proportion of the NSE controlled by the NSE 30 Index by dividing the total Market Capitalization for the NSE 30 Index by total market Capitalization for the whole NSE. In addition we compute the the ratio of Non-Financial services companies and Financial services companies as a percentage the whole value of NSE Market Capitalization

The automotive finance market is experiencing robust growth, driven by a confluence of factors. The increasing affordability of vehicles through financing options, coupled with a global rise in vehicle ownership, particularly in developing economies, fuels market expansion. The shift towards online lending platforms and digitalization of financial services streamlines processes, enhances accessibility, and reduces operational costs, further accelerating market growth. Furthermore, innovative financing products like balloon payments and lease financing cater to diverse consumer needs and preferences, stimulating market demand. The market is segmented by vehicle type (passenger cars and commercial vehicles), source type (OEMs, banks, credit unions, and financial institutions), and vehicle type (new and used). The high CAGR of over 6% reflects the sustained market momentum. While macroeconomic factors such as interest rate fluctuations and economic downturns can pose challenges, the long-term outlook remains positive due to the consistent demand for vehicles globally. The North American and European markets currently hold significant shares, largely driven by established automotive industries and robust consumer credit markets. However, the Asia-Pacific region, particularly China and India, demonstrates the fastest growth rates, propelled by rapid economic development and rising middle-class disposable incomes. Competition within the market is intense, with established players like Bank of America, Ally Financial, and HSBC competing with regional banks and specialized automotive finance companies. OEM-backed financing options are also gaining traction, offering competitive rates and bundled services to attract buyers. Future growth will likely be shaped by advancements in fintech, the adoption of alternative credit scoring models, and evolving regulatory landscapes impacting lending practices. The increasing focus on sustainability and electric vehicles presents both challenges and opportunities for the automotive finance industry as financing structures adapt to meet the needs of the EV market. Recent developments include: March 2022: Santander Consumer USA Inc. (a subsidiary of Santander Holdings USA Inc.) partnered with AutoFi Inc. to develop a digital car-buying solution for the former company. This solution will include mobile, desktop, and in-dealership tools that will help find cars within the consumer budget, streamline the financing process, and allow customers to procure vehicles as per their requirements., March 2022: CIG Motors partnered with Polaris Bank Limited to provide automotive financing solutions across Nigeria., January 2021: Volkswagen Finance Pvt. Ltd (VWFPL) India increased its shareholding in Chennai-based KUWY Technology Service Pvt Ltd (KWY) by picking up a majority stake in the latter to offer value-added services to its customers through digital platforms. This acquisition's focus is mainly on reducing the loan processing time, making it a lucrative situation for dealers and customers.. Notable trends are: Banks Across the World to Gain Significant Prominence During Forecast Period.

The number of commercial bank branches in Nigeria was forecast to continuously increase between 2024 and 2029 by in total 519 branches (+8.86 percent). After the eighth consecutive increasing year, the number is estimated to reach 6,378 branches and therefore a new peak in 2029. According to the IMF and World Bank, commercial bank branches can be defined as retail locations of commercial banks which provide financial services and are physically but not legally separated from the banks main office.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Abstract

The objectives of the Smallholder Household Survey in Nigeria were to: • Generate a clear picture of the smallholder sector at the national level, including household demographics, agricultural profile, and poverty status and market relationships; • Segment smallholder households in Nigeria according to the most compelling variables that emerge; • Characterize the demand for financial services in each segment, focusing on customer needs, attitudes and perceptions related to both agricultural and financial services; and, • Detail how the financial needs of each segment are currently met, with both informal and formal services, and where there may be promising opportunities to add value.

Geographic coverage

National coverage

Analysis unit

Households and individual household members

Universe

The universe for the survey consists of smallholder households defined as households with the following criteria: 1) Household with up to 5 hectares OR farmers who have less than 50 heads of cattle, 100 goats/sheep/pigs, or 1,000 chickens; AND 2) Agriculture provides a meaningful contribution to the household livelihood, income, or consumption.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Procedure

The smallholder household survey in Nigeria is a nationally-representative survey with a target sample size of 3,000 smallholder households. In order to take nonresponse into account, the target sample size was increased to 3,225 households assuming a response rate of 93%. The sample was designed to produce national level estimates as well as estimates for each of the six geo-political zones of

Nigeria is comprised of the following states: - North Central: Benue, Federal Capital Territory (FCT), Kogi, Kwara, Nasarawa, Niger, and Plateau - North East: Adamawa, Bauci, Borno, Gombe, Taraba and Yobe - North West: Jigawa, Kaduna, Kano, katsina, Kebbi, Sokoto and Zamfara - South East: Abia, Anambra, Ebonyi, Enugu, and Imo - South South: Akwa Ibom, Bayelsa, Cross River, Delta, Edo, and River - South West: Ekiti, Lagos, Ogun, Ondo, Osun, and Oyo

Sampling Frame

Nigeria is divided into 774 local governments (LGAs) and its last housing and population census took place in 2006. In preparation for this last census, the National Population Commission (NPopC) demarcated over 662,000 enumeration areas (EAs) for the country. From these EAs, two hierarchical master sample frames were developed by the Nigeria Bureau of Statistics (NBS): the LGA master frame and the National Integrated Survey of Households (NISH). The smallholder survey used the NISH as sampling frame but retained only the EAs containing agricultural households.

Sample allocation and selection

The total sample size was first allocated to the geo-political zones in proportion to their number of agricultural EAs in the sampling frame. Within each zone, the resulting sample was then further distributed to states proportionally to their number of agricultural EAs. Given that EAs were the primary sampling units and 15 households were selected in each EA, a total number of 215 EAs were selected The sample for the smallholder survey is a stratified multistage sample. A stratum corresponds to a state and the sample was selected independently in each stratum.

In the first stage, EAs were selected as primary sampling units with equal probability. A household listing operation was carried out in all selected EAs to identify smallholder households and to provide a frame for the selection of smallholder households to be included in the sample. In the second stage, 15 smallholders were selected in each EA with equal probability.

In each selected household, a household questionnaire was administered to the head of the household, the spouse or any knowledgeable adult household member to collect information about household characteristics. A multiple respondent questionnaire was administered to all adult members in each selected household to collect information on their agricultural activities, financial behaviors and mobile money usage. In addition, in each selected household only one household member was selected using the Kish grid and was administered the single respondent questionnaire.

The full description of the sample design can be found in the user guide for this data set.

Sampling deviation

The household listing operation identified fewer than 15 smallholder households in many sampled EAs. As a result, the sample take of 15 households per EA couldn’t be implemented in those EAs. To avoid a situation where a sample falls short, the sample take was increased to 17 smallholder households where possible while retaining in the sample all smallholder households in EAs with fewer than 17 smallholder households. This yielded 3,457 sampled households.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

To capture the complexity of smallholder households, the smallholder household survey was divided into three questionnaires: the Household questionnaire, the Multiple Respondent questionnaire, and the Single respondent questionnaire. It was designed in this way to capture the complete portrait of the smallholder household, as some members of the household may work on other agricultural activities independently and without the knowledge of others.

The household questionnaire collected information on the following: • Basic household members’ individual characteristics (age, gender, education attainment, schooling status, relationship with the household head). • Whether each household member contributes to the household income or participates in the household’s agricultural activities. This information was later used to identify all household members eligible for the other two questionnaires. • Household assets and dwelling characteristics.

Both the Multiple and Single Respondent questionnaires collected different information on the following: • Agricultural practices—farm information such as size, crop types, livestock, decision-making, farming association, and markets. • Household economics—employment, income, expenses, shocks, borrowing and saving habits, and investments.

The Single respondent questionnaire collected the following information: • Mobile phones—attitudes toward phones, use, access, ownership, desire, and importance. • Financial services—attitudes toward financial products and services such as banking and mobile money, including ownership, usage, access and importance.

The questionnaires were translated into Igbo, Hausa, Yoruba and Pidgin and were pretested on 5 -7 November 2016. After the pretest, debriefing sessions were held with the pretest field staff and the questionnaires were modified based on the observations from the pretest. After the questionnaires were finalized, a script was developed to support data collection on smartphones. The script was tested and validated before it was used in the field.

Cleaning operations

The data files were checked for completeness, inconsistencies and errors by InterMedia and corrections were made as necessary and where possible.

Response rate

The tables in the User Guide show household and household member response rates for the Nigeria smallholder household survey. A total of 3,457 households was selected for the survey, of which 3,310 were found to be occupied during data collection. Of these occupied households, 3,026 were successfully interviewed, yielding a household response rate of 91 percent.

In the interviewed households 6,643 eligible household members were identified for the Multiple Respondent questionnaire. Interviews were completed with 5,128 eligible household members, yielding a response rate of 77 percent for the Multiple Respondent questionnaire.

Among the 3,206 eligible household members selected for the Single Respondent questionnaire, 2,773 were successfully interviewed, yielding a response rate of 92 percent.

Sampling error estimates

The sample design for the smallholder household survey was a complex sample design featuring clustering, stratification and unequal probabilities of selection. For key survey estimates, sampling errors taking into account the design features can be produced using either the SPSS Complex Sample module or STATA based on the Taylor series approximation method.

Abstract

Despite years of human and financial investment in the Nigerian Health Sector, the country did not achieve the health-related millennium development goals (MDGs) by 2015. According to a 2010 UNDP MDG report, the likelihood that the country will achieve MDG 4 (reducing under-five mortality by two thirds between 1990 and 2015) and MDG 5 (reducing maternal mortality ratio by three quarters between 1990 and 2015) is average at best. Although the under-five mortality rate fell by a fifth in five years, from 201 deaths/1,000 live births in 2003 to 157 deaths/1,000 live births in 2008, and the maternal mortality ratio fell by 32 percent (800 deaths/100,000 live births in 2003 to 545 deaths/100,000 live births in 2008); these figures do not come close to the two-thirds and three quarters level set for the MDGs. The main challenges to achieving these goals have been identified as “declining resources, ensuring universal access to an essential package of care, improving the quality of healthcare services and increasing demand for health services and providing financial access especially to vulnerable groups” (UNDP 2010).

To overcome these challenges and accelerate the progress of the country to achieving the health related MDGs, innovative approaches are needed to effectively manage the Nigeria health system and improve on its efficiency to enhance the health status of the population. The World Bank and the government of Nigeria are in the process of preparing a results-based financing (RBF) project which provides incentives for improving performance at critical levels within the Nigerian health system and aims to address some of these challenges. A key feature of the RBF project in the Nigerian context is the provision of financial incentives to States and Local Government Agencies (LGA) based on results achieved. In addition, select health facilities will also receive performance incentives. This approach will also build institutional capacity for health system management while introducing a culture of performance excellence at the health facility level and higher levels of health systems management. Given the innovative nature of the proposed project interventions, the World Bank and the Government of Nigeria seek to nest a rigorous impact evaluation in the project to provide evidence that can be used to inform decisions on whether to scale up the innovations implemented under the project. The primary goal of the impact evaluation of the RBF project in Nigeria is to determine if providing financial incentives linked directly to performance increases the quantity and quality of maternal and child health (MCH) services. In addition, it is anticipated that the impact evaluation should provide answers that are generalizable to specific regions in Nigeria.

These are the endline data in support of this impact evaluation.

Geographic coverage

Urban and rural areas in the six states of Adamawa, Benue, Nasarawa, Ogun, Ondo, and Taraba.

Analysis unit

Health facility; household

Universe

• Primary and secondary health facilities in treatment states. In control states, a randomly-selected sample of primary and secondary health facilities.

• Households with recent pregnancies (in the last two years) or a currently pregnant woman from the catchment areas of the above facilities.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample frame for the health facility surveys comprised one randomly-chosen facility per ward from all functioning primary and secondary health facilities in each LGA (77 LGAs in total; all but one pre-pilot LGA in treatment state). For indicators that are measured at the level of the health facility, the evaluation is a two-level cluster randomized trial, that is, a study in which units are nested within clusters and the clusters are randomly assigned to the treatment or control condition. In this case, health facilities are nested within LGAs and LGAs are randomly assigned to the treatment or control condition. The referral (secondary) hospital in each LGA was also sampled.

HOUSEHOLDS: The sampling frame consists of households in the 77 LGAs that are part of the evaluation. To ensure an efficient sample, the sampling frame was limited to those households that included at least one woman who has given birth or been pregnant in the last two years. By restricting the sampling frame in such a way, we maximize the proportion of the sample that will have at least one woman who gave birth in the last two years, and the proportion of households that have at least one child under the age of five. While this sampling frame does not give us a fully representative sample of the Nigerian population, it gives a representative sample of the population of interest from this program. Sampling of households was done as follows: First, we listed all enumeration areas in the LGAs that belong to the study, and then randomly drew enumeration areas with probability based on size. Within enumeration areas, the survey firm listed all households within the enumeration area that included at least one woman who has given birth within the last 2 years. Then, 15 households were randomly drawn from that listing.

Mode of data collection

Computer Assisted Personal Interview [capi]

Cleaning operations

Data editing took place at a number of stages throughout the processing, including: • Office editing and coding • During data entry • Structure checking and completeness • Secondary editing • Structural checking of Stata data files

Nigeria GDP: Basic Prices: Services: FI: Financial Institutions data was reported at 3,330,086.955 NGN mn in 2017. This records an increase from the previous number of 3,099,872.397 NGN mn for 2016. Nigeria GDP: Basic Prices: Services: FI: Financial Institutions data is updated yearly, averaging 127,800.430 NGN mn from Dec 1981 (Median) to 2017, with 37 observations. The data reached an all-time high of 3,330,086.955 NGN mn in 2017 and a record low of 4,803.204 NGN mn in 1981. Nigeria GDP: Basic Prices: Services: FI: Financial Institutions data remains active status in CEIC and is reported by National Bureau of Statistics of the Federal Republic of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.A007: GDP: by Industry: Current Price: Annual.

As of 2024, only *** percent of female adults in Nigeria owned a credit card. The share of men with a credit card was slightly higher, reaching *** percent. A difference of *** percentage points was also registered between men and women making online transactions.

Nigeria GDP: Basic Prices: 2010p: Services: FI: Financial Institutions data was reported at 1,782,325.910 NGN mn in 2017. This records an increase from the previous number of 1,748,753.695 NGN mn for 2016. Nigeria GDP: Basic Prices: 2010p: Services: FI: Financial Institutions data is updated yearly, averaging 994,301.637 NGN mn from Dec 1981 (Median) to 2017, with 37 observations. The data reached an all-time high of 1,851,828.282 NGN mn in 2015 and a record low of 196,908.699 NGN mn in 1981. Nigeria GDP: Basic Prices: 2010p: Services: FI: Financial Institutions data remains active status in CEIC and is reported by National Bureau of Statistics of the Federal Republic of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.A010: GDP: by Industry: 2010 Price: Annual.

In 2023, agriculture contributed around 22.72 percent to Nigeria’s GDP, 32.58 percent came from industry, and 42.77 percent from the services sector. Economic sectors The most common breakdown of economic activity in a country is looking at three economic sectors: The primary sector, which involves agriculture, forestry, and fishing, the secondary sector, industry, that includes manufacturing, processing, or transforming goods, and finally, the tertiary sector, services, i.e. providing information or services to consumers, such as in IT, tourism, or banking. A country’s contribution to GDP, and thus its own economy, is easily visible when looking at the performance of these three sectors. Soaring services in NigeriaLike in most thriving economies nowadays, the services sector is gaining momentum in Nigeria, because more and more people are moving from the countryside to the cities to find jobs. Nigeria is a mixed economy which focuses mainly on telecommunications, financial services, and technology, a strategy that is likely to pay off in the future and will see its GDP soaring. Nigeria’s reliance on oil is also an important contributor to its economic success; between 2001 and 2010, it was one of the countries with the highest GDP growth worldwide. However, oil prices are also responsible for a GDP growth slump in 2016 and for the first trade deficit in over a decade.

国内生产总值：基本价格：服务业：FI：金融机构在12-01-2017达3,330,086.955百万尼日利亚奈拉，相较于12-01-2016的3,099,872.397百万尼日利亚奈拉有所增长。国内生产总值：基本价格：服务业：FI：金融机构数据按年更新，12-01-1981至12-01-2017期间平均值为127,800.430百万尼日利亚奈拉，共37份观测结果。该数据的历史最高值出现于12-01-2017，达3,330,086.955百万尼日利亚奈拉，而历史最低值则出现于12-01-1981，为4,803.204百万尼日利亚奈拉。CEIC提供的国内生产总值：基本价格：服务业：FI：金融机构数据处于定期更新的状态，数据来源于National Bureau of Statistics of the Federal Republic of Nigeria，数据归类于Global Database的尼日利亚 – 表 NG.A007：国内生产总值：按行业分类：按现价计算：年度。