Abstract

NASC is an exercise designed to fill the existing data gap in the agricultural landscape in Nigeria. It is a comprehensive enumeration of all agricultural activities in the country, including crop production, fisheries, forestry, and livestock activities. The implementation of NASC was done in two phases, the first being the Listing Phase, and the second is the Sample Survey Phase. Under the first phase, enumerators visited all the selected Enumeration Areas (EAs) across the Local Government Areas (LGAs) and listed all the farming households in the selected enumeration areas and collected the required information. The scope of information collected under this phase includes demographic details of the holders, type of agricultural activity (crop production, fishery, poultry, or livestock), the type of produce or product (for example: rice, maize, sorghum, chicken, or cow), and the details of the contact persons. The listing exercise was conducted concurrently with the administration of a Community Questionnaire, to gather information about the general views of the communities on the agricultural and non-agricultural activities through focus group discussions.

The main objective of the listing exercise is to collect information on agricultural activities at household level in order to provide a comprehensive frame for agricultural surveys. The main objective of the community questionnaire is to obtain information about the perceptions of the community members on the agricultural and non-agricultural activities in the community.

Additional objectives of the overall NASC program include the following: · To provide data to help the government at different levels in formulating policies on agriculture aimed at attaining food security and poverty alleviation · To provide data for the proposed Gross Domestic Product (GDP) rebasing

Geographic coverage

Communities (in Enumerated Areas).

Analysis unit

Community

Universe

The population units are communities encompassing the designated enumeration areas, where household listing was performed.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Focus group interviews were performed in communities overlapping with in the EAs selected for the extended listing operation. Accordingly, a focus group discussion in a total of 26,555 communities were undertaken to administer the community level questionnaire. It is important to note here that the results from the community survey are unweighted results and all the tables produced from the community level data are only from the 26,555 communities interviewed.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The NASC community listing questionnaire served as a meticulously designed instrument administered within every community selected to gather comprehensive data. It encompassed various aspects such as agricultural activities in the community, infrastructures, disaster, etc. The questionnaire was structured into the following sections:

• Identification of the community • Respondent Characteristics (Name, Sex, age) • Agricultural Activities in the Community • Disasters and Shocks • Community Infrastructure and Transportation • Community Organizations • Community Resources Management • Land Prices and Credit • Community Key Events • Labour

Cleaning operations

Data processing of the NASC household listing survey included checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning was carried out electronically using the Stata software package. In some cases where data inconsistencies were found a call back to the household was carried out. A pre-analysis tabulation plan was developed and the final tables for publication were created using the Stata software package.

Under Employment Rate by state 2017 - 2018, Source: Nigeria Bureau of Statistics, 2018, https://nigerianstat.gov.ng/resource/Unemplyment%20Data%20Series%20by%20State%20-%20Revised%20-%2015%20Apr%202019Latest%20v2.xlsx

Mapping No. of Passengers in arrivals and departures (international flights), by airport 2018, Source: Nigeria Bureau of Statistics, 2018, https://nigerianstat.gov.ng/resource/JAN-DEC%202018%20Harmonised%20Air%20Traffic%20Statistics.xlsx

Abstract

The General Household Survey-Panel (GHS-Panel) is implemented in collaboration with the World Bank Living Standards Measurement Study (LSMS) team as part of the Integrated Surveys on Agriculture (ISA) program. The objectives of the GHS-Panel include the development of an innovative model for collecting agricultural data, interinstitutional collaboration, and comprehensive analysis of welfare indicators and socio-economic characteristics. The GHS-Panel is a nationally representative survey of approximately 5,000 households, which are also representative of the six geopolitical zones. The 2023/24 GHS-Panel is the fifth round of the survey with prior rounds conducted in 2010/11, 2012/13, 2015/16 and 2018/19. The GHS-Panel households were visited twice: during post-planting period (July - September 2023) and during post-harvest period (January - March 2024).

Geographic coverage

National

Analysis unit

• Households • Individuals • Agricultural plots • Communities

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

The original GHS‑Panel sample was fully integrated with the 2010 GHS sample. The GHS sample consisted of 60 Primary Sampling Units (PSUs) or Enumeration Areas (EAs), chosen from each of the 37 states in Nigeria. This resulted in a total of 2,220 EAs nationally. Each EA contributed 10 households to the GHS sample, resulting in a sample size of 22,200 households. Out of these 22,200 households, 5,000 households from 500 EAs were selected for the panel component, and 4,916 households completed their interviews in the first wave.

After nearly a decade of visiting the same households, a partial refresh of the GHS‑Panel sample was implemented in Wave 4 and maintained for Wave 5. The refresh was conducted to maintain the integrity and representativeness of the sample. The refresh EAs were selected from the same sampling frame as the original GHS‑Panel sample in 2010. A listing of households was conducted in the 360 EAs, and 10 households were randomly selected in each EA, resulting in a total refresh sample of approximately 3,600 households.

In addition to these 3,600 refresh households, a subsample of the original 5,000 GHS‑Panel households from 2010 were selected to be included in the new sample. This “long panel” sample of 1,590 households was designed to be nationally representative to enable continued longitudinal analysis for the sample going back to 2010. The long panel sample consisted of 159 EAs systematically selected across Nigeria’s six geopolitical zones.

The combined sample of refresh and long panel EAs in Wave 5 that were eligible for inclusion consisted of 518 EAs based on the EAs selected in Wave 4. The combined sample generally maintains both the national and zonal representativeness of the original GHS‑Panel sample.

Sampling deviation

Although 518 EAs were identified for the post-planting visit, conflict events prevented interviewers from visiting eight EAs in the North West zone of the country. The EAs were located in the states of Zamfara, Katsina, Kebbi and Sokoto. Therefore, the final number of EAs visited both post-planting and post-harvest comprised 157 long panel EAs and 354 refresh EAs. The combined sample is also roughly equally distributed across the six geopolitical zones.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The GHS-Panel Wave 5 consisted of three questionnaires for each of the two visits. The Household Questionnaire was administered to all households in the sample. The Agriculture Questionnaire was administered to all households engaged in agricultural activities such as crop farming, livestock rearing, and other agricultural and related activities. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.

GHS-Panel Household Questionnaire: The Household Questionnaire provided information on demographics; education; health; labour; childcare; early child development; food and non-food expenditure; household nonfarm enterprises; food security and shocks; safety nets; housing conditions; assets; information and communication technology; economic shocks; and other sources of household income. Household location was geo-referenced in order to be able to later link the GHS-Panel data to other available geographic data sets (forthcoming).

GHS-Panel Agriculture Questionnaire: The Agriculture Questionnaire solicited information on land ownership and use; farm labour; inputs use; GPS land area measurement and coordinates of household plots; agricultural capital; irrigation; crop harvest and utilization; animal holdings and costs; household fishing activities; and digital farming information. Some information is collected at the crop level to allow for detailed analysis for individual crops.

GHS-Panel Community Questionnaire: The Community Questionnaire solicited information on access to infrastructure and transportation; community organizations; resource management; changes in the community; key events; community needs, actions, and achievements; social norms; and local retail price information.

The Household Questionnaire was slightly different for the two visits. Some information was collected only in the post-planting visit, some only in the post-harvest visit, and some in both visits.

The Agriculture Questionnaire collected different information during each visit, but for the same plots and crops.

The Community Questionnaire collected prices during both visits, and different community level information during the two visits.

Cleaning operations

CAPI: Wave five exercise was conducted using Computer Assisted Person Interview (CAPI) techniques. All the questionnaires (household, agriculture, and community questionnaires) were implemented in both the post-planting and post-harvest visits of Wave 5 using the CAPI software, Survey Solutions. The Survey Solutions software was developed and maintained by the Living Standards Measurement Unit within the Development Economics Data Group (DECDG) at the World Bank. Each enumerator was given a tablet which they used to conduct the interviews. Overall, implementation of survey using Survey Solutions CAPI was highly successful, as it allowed for timely availability of the data from completed interviews.

DATA COMMUNICATION SYSTEM: The data communication system used in Wave 5 was highly automated. Each field team was given a mobile modem which allowed for internet connectivity and daily synchronization of their tablets. This ensured that head office in Abuja had access to the data in real-time. Once the interview was completed and uploaded to the server, the data was first reviewed by the Data Editors. The data was also downloaded from the server, and Stata dofile was run on the downloaded data to check for additional errors that were not captured by the Survey Solutions application. An excel error file was generated following the running of the Stata dofile on the raw dataset. Information contained in the excel error files were then communicated back to respective field interviewers for their action. This monitoring activity was done on a daily basis throughout the duration of the survey, both in the post-planting and post-harvest.

DATA CLEANING: The data cleaning process was done in three main stages. The first stage was to ensure proper quality control during the fieldwork. This was achieved in part by incorporating validation and consistency checks into the Survey Solutions application used for the data collection and designed to highlight many of the errors that occurred during the fieldwork.

The second stage cleaning involved the use of Data Editors and Data Assistants (Headquarters in Survey Solutions). As indicated above, once the interview is completed and uploaded to the server, the Data Editors review completed interview for inconsistencies and extreme values. Depending on the outcome, they can either approve or reject the case. If rejected, the case goes back to the respective interviewer’s tablet upon synchronization. Special care was taken to see that the households included in the data matched with the selected sample and where there were differences, these were properly assessed and documented. The agriculture data were also checked to ensure that the plots identified in the main sections merged with the plot information identified in the other sections. Additional errors observed were compiled into error reports that were regularly sent to the teams. These errors were then corrected based on re-visits to the household on the instruction of the supervisor. The data that had gone through this first stage of cleaning was then approved by the Data Editor. After the Data Editor’s approval of the interview on Survey Solutions server, the Headquarters also reviews and depending on the outcome, can either reject or approve.

The third stage of cleaning involved a comprehensive review of the final raw data following the first and second stage cleaning. Every variable was examined individually for (1) consistency with other sections and variables, (2) out of range responses, and (3) outliers. However, special care was taken to avoid making strong assumptions when resolving potential errors. Some minor errors remain in the data where the diagnosis and/or solution were unclear to the data cleaning team.

Response

Context

This Data set contains the average price of selected food items from January 2016 to June 2016

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. The data was taken from the Online Library of the Nigerian Bureau of Statistics (NBS). Although, originally an Excel workbook containing prices of food items from the different states in Nigeria per sheet, one of the sheets (the one uploaded) contained the National Average. This is the one I was most interested in, so I copied into a CSV file for further analysis. As at the time of downloading (31st July, 2017), the workbook contained data up till the month of June 2017.

Acknowledgements

The NBS is doing a good job in curating data from Nigeria.

Inspiration

I will like to be able to make recommendations on the spending pattern/budget of Nigerians with regards to the prices of food items.

Geographic coverage

National

Analysis unit

• Household
• Individual

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Abstract

The General Household Survey is a brainchild of the National Bureau of Statistics (NBS) and is often referred to as a regular survey carried out on quarterly basis by the NBS over the years. In recent times, starting from 2004 to be precise, there is a collaborative effort between the NBS and the CBN in 2004 and 2005 and in 2006, 2007and 2008, the collaboration incorporated Nigerian Communications commission (NCC).

The main reason for conducting the survey was to enable the collaborating agencies fulfil their mandate in the production of current and credible statistics, to monitor and evaluate the status of the economy and the various government programmes such as the National Economic Empowerment and Development Strategy (NEEDS) and the Millennium Development Goals (MDGs).

The collaborative survey also assured the elimination of conflicts in data generated by the different agencies and ensured a reliable, authentic national statistics for the country.

Geographic coverage

National Coverage

Analysis unit

Household

Universe

Household

Kind of data

Sample survey data [ssd]

Response rate

At National basis, 99.3 percent response rate was acheived at EA level .

While 82.7 percent was acheived at the housing units level.

Sampling error estimates

No sampling error estimate

Data appraisal

Quality control measures were carried out during the survey, essentially to ensure quality of data. There were three levels of supervision involving the supervisors at the first level, CBN staff, NBS State Officers and Zonal Controllers at second level and finally the NBS/NCC Headquarters staff constituting the third level supervision.

Abstract

NASS is an exercise designed to provide accurate and up-to-date agricultural statistics that allows policymakers, researchers, and development partners to make informed decisions that directly impact the well-being of farmers, rural communities, and the broader economy. These statistics are essential for enhancing food security, improving productivity, and addressing regional disparities in agricultural performance. Additionally, robust agricultural data is vital in supporting Nigeria’s efforts to diversify its economy from oil dependency. By identifying key areas for investment, such as crop production, livestock management, and agro-processing, data can guide both public and private sector investments to boost agricultural output and expand exports. Moreover, they help track progress toward national goals while supporting Nigeria's efforts to meet global commitments like the Sustainable Development Goals (SDGs). Hence, NASS provides useful data for understanding the state of the agricultural sector and offer essential production and structural data to support evidence-based planning and implementation of agricultural programs vital for addressing current economic challenges and enhancing the livelihood of many Nigerians. This survey is also essential for monitoring and evaluating the effectiveness of existing agricultural programs and ensuring that resources are allocated efficiently. Capturing detailed data on agriculture practices, outputs, and challenges, the survey supports the planning and implementation of initiatives aimed at improving productivity, enhancing food security, and adapting to challenges like climate change and market fluctuations.

The objectives of the survey are to; i. provide data on agricultural production in 2022/ 2023 and the structure of the sector as a whole to assist the government in policy formulation and programme planning; ii. effectively and efficiently provide appropriate agricultural information to increase public awareness; and iii. provide data that could be used to compute agricultural sector contribution to the Gross Domestic Product (GDP).

Geographic coverage

The National Population Commission (NPC) provided the frame of Enumeration Areas (EAs), newly demarcated for the proposed 2023 Housing and Population Census. This was used as the primary sampling frame. Although data was collected across the 36 states and the Federal Capital Territory (FCT), some Local Government Areas (LGAs) were not covered due to insecurity. The LGAs covered during the survey were seven hundred and sixty-seven (767) out of the 774 LGAs in Nigeria due to security challenges. The affected states/LGAs are Borno state (Monguno, Kukawa and Abadam LGAs) and Orlu, Orsu, Oru East, and Njaba LGAs in Imo state. The number of EAs covered varied from state to state depending on the number of Agricultural EAs and LGAs. Nationally, a total of 15,591 EAs were selected across the 36 States of the Federation and FCT and a total of 152,485 households were designated to be covered.

Analysis unit

Agricultural Households.

Universe

The final sampling units used were agricultural households involved in crop/ livestock farming, and fishery households selected in a subsample of EAs among the sample of EAs covered during the extensive listing survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The final sampling units used were agricultural households involved in crop/ livestock farming, and fishery households selected in a subsample of EAs among the sample of EAs covered during the extensive listing survey. The sampling method of NASS-household is a stratified three-phased sampling as follows: -First phase: Stratified Probability Proportional to Size (PPS) selection of 80 EAs Second phase: systematic sub-sampling of 40 EAs for the extended listing Third phase: two-stage sampling for NASS-household

i. First stage: Stratification of EAs into Agricultural and non-agricultural EAs drawn from the 40EAs listed in each LGA ii. Second stage: Systematic sampling of 10 farming households (crop/ livestock farming) and a systematic selection of complementary households practicing only fishery in fishery-intensive LGAs (18) up to a maximum of 12 households were interviewed in the concerned EAs. That selection was stratified by sorting the listed farming households by various agricultural-related information including farming activities practiced, number of plots, livestock numbers in tropical livestock units, as well as the gender of the household head.

Sample Size and Reallocation A total of 15,591 Enumeration Areas (EAs) were selected for the NASS household survey. The sample was distributed across Local Government Areas (LGAs) based on the estimated total number of plots per LGA. Within each LGA, the sample was further allocated between urban and rural areas in proportion to the estimated agricultural population. In the selected EAs, 152,485 households were finally sampled.

Sampling deviation

The probabilities of selecting EAs for NASS households were derived from two stages: the likelihood of their selection in the listing sample and the probability of selection from the subsample of EAs chosen for NASS households. These probabilities were then combined with the probabilities of selecting farming households within the EAs to determine the final selection probabilities for farming households. The design weights were calculated as the inverse of these selection probabilities. These weights were further adjusted to account for non-responses, resulting in final sampling weights used in estimating means, totals, proportions, and other statistics through standard Horvitz-Thompson estimators. Special consideration was given to fishery-related estimates, ensuring that data from the independent sample of households engaged solely in fishery activities were fully incorporated. Due to the complexity of the sampling design, sampling errors were estimated using resampling methods such as Bootstrap and Jackknife techniques.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The NASS household questionnaire served as a meticulously designed instrument administered within selected households to gather comprehensive data. The questionnaire was structured into the following sections:

0A. HOLDING IDENTIFICATION 0B. ROSTER OF HOUSEHOLD MEMBERS 0C. AGRICULTURAL ACTIVITIES 0D. AGRICULTURALACTIVITIES 2. PLOT ROSTER AND DETAILS 3. CROP ROSTER 1A: TEMPORARY (NON-VEGETABLE) CROP PRODUCTION 1H: TEMPORARY CROP PRODUCTION (VEGETABLE CROPS) 1B: TEMPORARY CROP DESTINATION 2A: PERMANENT CROP PRODUCTION 2B: PERMANENT CROP DESTINATION 4: SEED AND PLANT USE 3C: INPUT USE 2(DS): PLOT ROSTER AND DETAILS 3(DS): CROP ROSTER 1A(DS): TEMPORARY (NON-VEGETABLE) CROP PRODUCTION - DRY SEASON 1H(DS): TEMPORARY CROP PRODUCTION (VEGETABLE CROPS) - DRY SEASON 1B(DS): TEMPORARY CROP DESTINATION - DRY SEASON 4(DS): SEED AND PLANT USE - DRY SEASON 3C(DS): INPUT USE - DRY SEASON 4A: LIVESTOCK IN STOCK 4B: CHANGE IN STOCK- LARGE AND MEDIUM-SIZED ANIMALS 4C: CHANGE IN STOCK-POULTRY 4G: MILKPRODUCTION 4H: EGG PRODUCTION 4I: OTHERLIVESTOCKPRODUCTS 4J:APIARYPRODUCTION (BEEKEEPING) 5A: FISH FARMING/AQUACULTUREPRODUCTION 6A: FISH HUNTING/CAPTURE 7A: FORESTRYPRODUCTION 9: LABOUR 2_GPS.PLOT GPS MEASUREMENT 99. END OFTHE SURVEY

Cleaning operations

Data processing and analysis involved data cleaning, data analysis, data verification/validation, and table generation. World Food Programme (WFP), Food and Agricultural Organization (FAO), and NBS carried out the data processing and analysis for both the household and corporate farms questionnaires. The corporate farm questionnaire involved manual editing as well as data entry.

Sampling error estimates

Given the complexity of the sample design, sampling errors were estimated through resampling approaches (Bootstrap/Jackknife)

National Driving Licence Produced by Federal Road Safety Corps (FRSC) by state and gender, 2018, Source: National Bureau of Statistics, 2018, https://nigerianstat.gov.ng/resource/road%20transport%20Data%20q4%202018.xlsx

Abstract

The National Consumer Survey is a module of the National Integrated Survey of Households (NISH). Other modules of the programme include the General Household Survey, the Labour Force Survey, the Family Planning Survey and the Rural Agricultural Sample Survey.

Geographic coverage

National

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Abstract

The National Bureau of Statistics (NBS) has enhanced its methodology of collecting labour market data through the Nigeria Labour Force Survey (NLFS) in line with International Labour Organisation (ILO) guidelines.The data collection for the revised NLFS is based on a sample of 35,520 households nationwide of which 8,880 were selected quarterly. It is conducted continuously throughout the year, with national-level results produced quarterly and state-level results at the end of a full year.

About three-quarter of working-age Nigerians were employed - 73.6% in Q4 2022.This shows that most people were engaged in some type of jobs for at least one hour in a week, for pay or profit.About one-third (36.4% in Q4 2022) of employed persons worked less than 40 hours per week in this quarter. This was most common among women, individuals with lower levels of education, young people, and those living in rural areas.Underemployment rate which is a share of employed people working less than 40 hours per week and declaring themselves willing and available to work more was 13.7% in Q4 2022.The share of wage employment was 13.4% in Q4 2022 .Most Nigerians operate their own businesses or engaged in farming activities with 73.1% in Q4 2022.

Furthermore, 10.7% in Q4 2022 were engaged helping (without pay or profit) in a household businesses. In Q4 2022, 2.6% were engaged as Apprentices/Interns.Unemployment stood at 5.3% in Q4 2022 and this aligns with the rates in other developing countries where work, even if only for a few hours and in low-productivity jobs, is essential to make ends meet, particularly in the absence of any social protection for the unemployed.22.3% of the working age population were out of labour force in Q4 2022 while the rate of informal employment among the employed Nigerians was 93.5%.

Geographic coverage

National Zone State Sector

Analysis unit

Individual

Universe

Household Members

Kind of data

Sample survey data [ssd]

Sampling procedure

The National frame of EAs demarcated for the forthcoming Housing and Population Census was used to select the study units.A household listing exercise was carried out on quarterly basis to update the sampling frame from which households were selected for interview. A two-stage cluster sampling design was adopted for this survey. The first was the selection of Enumeration Areas while,the second was the selection of households.

First Stage Selection Ninety Six (96) EAs was selected in each State in which 24 EAs was canvassed quarterly in each State Nationally, a total of 3,552 EAs was covered in the 36 States of the Federation and FCT .

For the Second Stage Selection, 10 HHs were systematically selected per EA. In each State, 240 HHs were interviewed in every quarter.Nationally, a total of 35,520 HHs will be covered while 8,880 were covered quarterly.All eligible household members aged 15 years and above were interviewed.

Sampling deviation

No Deviations

Mode of data collection

Face-to-face [f2f]

Research instrument

A structured questionnaire was used for NLFS. A household questionnaire was administered in each household, which collected various information on Identification, Demographic Characteristics, Education, Employed at work,Temporarily absence, Agricultural work and Market Orientation, Characteristics of main and secondary job, Unemployent and out of labour.Some of the questions were administered at household level while others were at individual level.

Cleaning operations

Real - Time data editing took place at different stages throughout the processing which includes: 1) Data editing and cleaning 2) Structure checking and completeness 3) Secondary editing 4) Structural checking of data files

Response rate

The household response rate is 98.9%.

Sampling error estimates

The margin of error of each quarter is 1% for national estimates.

Data appraisal

A series of data quality tables and graphs are available in the reports.

Abstract

The objective of the Nigeria NLPS Phase 2 is to monitor in real-time how the Nigerian households are coping with national and global crises and their effects on the welfare and livelihoods of the households. The households in the Phase 2 are drawn from the sample of households interviewed in GHS-Panel 2018/19 including those interviewed during the Phase 1. This survey has become a flexible tool that contributes to filling critical gaps in information that could be used by the Nigerian government and stakeholders to help design policies to mitigate the negative impacts of the COVID-19 pandemic, the oil prices crises, inflation and global value chain crises, among others. The Nigeria NLPS Phase 2 is designed to accommodate the evolving nature of the crises, including revision of the questionnaire on a bi-monthly basis.

Geographic coverage

National coverage

Analysis unit

• Households
• Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

BASELINE (ROUND 1): Wave 4 of the GHS-Panel conducted in 2018/19 served as the frame for the Nigeria NLPS surveys. The GHS-Panel sample includes 4,976 households that were interviewed in the post-harvest visit of the fourth wave in January/February 2019. This sample of households is representative nationally as well as across the 6 geopolitical Zones that divide up the country. In every visit of the GHS-Panel, phone numbers are collected from interviewed households for up to 4 household members and 2 reference persons who are in close contact with the household in order to assist in locating and interviewing households who may have moved in subsequent waves of the survey. This comprehensive set of phone numbers as well as the already well-established relationship between NBS and the GHS-Panel households made this an ideal frame from which to conduct the NLPS in Nigeria.

Among the 4,976 households interviewed in the post-harvest visit of the GHS-Panel in 2019, 4,934 (99.2%) provided at least one phone number. Around 90 percent of these households (4,440) provided a phone number for at least one household member while the remaining 10 percent only provided a phone number for a reference person. For the second phase of the NLPS, all 4,440 GHS-Panel households with household member contact details were included in the sample to be contacted. This included the sample of households from the first phase of the NLPS who had household member contact details (2,701 of 3,000). Based on the response rate in the first phase of the NLPS of 65 percent, this was expected to yield an interviewed sample of nearly 2,900 households that is both nationally representative as well as representative of urban and rural areas of the country.

ROUND 2: Interviewers attempted to contact and interview all 2,922 households that were successfully interviewed in the baseline (round 1) of the NLPS Phase 2. The second round of the NLPS Phase 2 also included individual-level data collection on the migration history of household members. For the migration module, information on adult (15 years or older) members of the household was targeted, including respondents that fall into this age range. However, information was not captured for all adult members. In order to limit the burden for respondents and interviewers in cases where the number of adult members is large, a maximum of 6 household members were selected (in addition to the main respondent) to capture information on migration. Therefore, for households with less than 6 adult members, all eligible members were included. However, 93 percent of interviewed households had 6 or less adult members and only 7 percent had more than six. For the 7 percent with more than 6 adult members, 6 members were randomly selected from among the pool of eligible members. The selection was stratified by sex with an equal split of 3 male and 3 females was targeted, depending on the pool of eligible males and females. However, the application of selection as relatively rare.

ROUND 3: Interviewers attempted to contact and interview all 2,811 households that were successfully interviewed in the baseline (round 1) of the NLPS Phase 2, excluding 41 households that refused in Round 2. The third round of the NLPS Phase 2 also included individual-level data collection on employment and job history of household members. For the employment and job history modules, information on adult (15 years or older) members of the household was targeted, including respondents that fall into this age range. However, information was not captured for all adult members. In order to limit the burden for respondents and interviewers in cases where the number of adult members is large, a maximum of 4 household members were selected (in addition to the main respondent) to capture information on employment and job history. Therefore, for households with less than 4 adult members, all eligible members were included.

However, 90 percent of interviewed households had 4 or less adult members and only 10 percent had more than four. For the 10 percent with more than 4 adult members, 4 members were randomly selected from among the pool of eligible members. The selection was stratified by sex with an equal split of 2 male and 2 females was targeted, depending on the pool of eligible males and females. The selection of eligible household members in Round 3 was conditional to the selection conducted in Round 2 for the migration module. In that round, up to 6 household members were selected (15 years or older) to answer the migration module. However, the application of selection as relatively rare.

ROUND 4: Interviewers attempted to contact and interview all 2,852 households that were successfully interviewed in the baseline (round 1) of the NLPS Phase 2, excluding 70 households that refused in previous rounds of the survey.

ROUND 5: Interviewers attempted to contact and interview 2,824 households consisting of households that were successfully interviewed in the baseline (round 1) of the NLPS Phase 2 excluding 98 households that refused in previous rounds of the survey.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

BASELINE (ROUND 1): One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to health services; employment and non-farm enterprise; and COVID-19 vaccine.

ROUND 2: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; migration; employment; and household migrants.

ROUND 3: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to health services; employment; job history; and COVID-19 vaccine.

ROUND 4: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to health services; petrol; employment; credit; and economic sentiments. While the Household Questionnaire was administered to all the sample households, economic sentiments questions were asked to only half of the sample households (randomly selected).

ROUND 5: One questionnaire, the Household Questionnaire, was administered to all households in the sample. The Household Questionnaire provides information on demographics; access to health services; employment; COVID-19 vaccine; economic sentiments; and farmer screening. While the Household Questionnaire was administered to all the sample households, economic sentiments questions were administered to only half of the sample households (those that were not selected to answer these questions in Round 4).

Response rate

BASELINE (ROUND 1): All 4,440 households were contacted in the first round of this second phase of the NLPS. 71 percent of sampled households were successfully contacted. Of those contacted, 93 percent or 2,922 households were fully interviewed. These 2,922 households constitute the final successful sample and will be contacted in subsequent rounds of the survey. Among those household that were contacted, only 121 refused to be interviewed (about 4% of successfully contacted households). Among the sample of households who were not successfully contacted, the predominant reason for noncontact was that the phone was switched off at every attempt (18% of all households). Wrong numbers and non-existent numbers were also present but less common affecting only 4.8 and 2.5 percent of sampled households while for 2.6 percent of households the phone was ringing (and thus an active line and phone) but no one was answering.

ROUND 2: 2,797 households (95.7% of the 2,922 attempted) were contacted and 2,750 (94.1%) were successfully interviewed in the second round. Of those contacted, 36 households refused outright to be interviewed and 10 were partially interviewed. For the individual-level data collection, of 7,653 adult members of the household in round 2 (excluding the main respondent), information was collected on 7,058 or about 92.2 percent of eligible individuals. In addition, 2,750 main respondents were interviewed bringing the final sample of adult members with migration information to 9,808. Although interviewers made attempts to collect migration information directly from each individual selected, it proved exceedingly difficult to do so. As a result, only 34.6% of individual responses were obtained from the actual individual in question with the remaining 65.4% being collected via proxy (typically

Geographic coverage

National

Analysis unit

Individuals

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Abstract

The main objectives of the 2018/19 NLSS are: i) to provide critical information for production of a wide range of socio-economic and demographic indicators, including for benchmarking and monitoring of SDGs; ii) to monitor progress in population’s welfare; iii) to provide statistical evidence and measure the impact on households of current and anticipated government policies. In addition, the 2018/19 NLSS could be utilized to improve other non-survey statistical information, e.g. to determine and calibrate the contribution of final consumption expenditures of households to GDP; to update the weights and determine the basket for the national Consumer Price Index (CPI); to improve the methodology and dissemination of micro-economic and welfare statistics in Nigeria.

The 2018/19 NLSS collected a comprehensive and diverse set of socio-economic and demographic data pertaining to the basic needs and conditions under which households live on a day to day basis. The 2018/19 NLSS questionnaire includes wide-ranging modules, covering demographic indicators, education, health, labour, expenditures on food and non-food goods, non-farm enterprises, household assets and durables, access to safety nets, housing conditions, economic shocks, exposure to crime and farm production indicators.

Geographic coverage

National coverage

Analysis unit

• Households
• Individuals
• Communities

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

The 2018/19 NLSS sample is designed to provide representative estimates for the 36 states and the Federal Capital Territory (FCT), Abuja. By extension. The sample is also representative at the national and zonal levels. Although the sample is not explicitly stratified by urban and rural areas, it is possible to obtain urban and rural estimates from the NLSS data at the national level. At all stages, the relative proportion of urban and rural EAs as has been maintained.

Before designing the sample for the 2018/19 NLSS, the results from the 2009/10 HNLSS were analysed to extract the sampling properties (variance, design effect, etc.) and estimate the required sample size to reach a desired precision for poverty estimates in the 2018/19 NLSS.

EA SELECTION: The sampling frame for the 2018/19 NLSS was based on the national master sample developed by the NBS, referred to as the NISH2 (Nigeria Integrated Survey of Households 2). This master sample was based on the enumeration areas (EAs) defined for the 2006 Nigeria Census Housing and Population conducted by National Population Commission (NPopC). The NISH2 was developed by the NBS to use as a frame for surveys with state-level domains. NISH2 EAs were drawn from another master sample that NBS developed for surveys with LGA-level domains (referred to as the “LGA master sample”). The NISH2 contains 200 EAs per state composed of 20 replicates of 10 sample EAs for each state, selected systematically from the full LGA master sample. Since the 2018/19 NLSS required domains at the state-level, the NISH2 served as the sampling frame for the survey.

Since the NISH2 is composed of state-level replicates of 10 sample EAs, a total of 6 replicates were selected from the NISH2 for each state to provide a total sample of 60 EAs per state. The 6 replicates selected for the 2018/19 NLSS in each state were selected using random systematic sampling. This sampling procedure provides a similar distribution of the sample EAs within each state as if one systematic sample of 60 EAs had been selected directly from the census frame of EAs.

A fresh listing of households was conducted in the EAs selected for the 2018/19 NLSS. Throughout the course of the listing, 139 of the selected EAs (or about 6%) were not able to be listed by the field teams. The primary reason the teams were not able to conduct the listing in these EAs was due to security issues in the country. The fieldwork period of the 2018/19 NLSS saw events related to the insurgency in the north east of the country, clashes between farmers and herdsman, and roving groups of bandits. These events made it impossible for the interviewers to visit the EAs in the villages and areas affected by these conflict events. In addition to security issues, some EAs had been demolished or abandoned since the 2006 census was conducted. In order to not compromise the sample size and thus the statistical power of the estimates, it was decided to replace these 139 EAs. Additional EAs from the same state and sector were randomly selected from the remaining NISH2 EAs to replace each EA that could not be listed by the field teams. This necessary exclusion of conflict affected areas implies that the sample is representative of areas of Nigeria that were accessible during the 2018/19 NLSS fieldwork period. The sample will not reflect conditions in areas that were undergoing conflict at that time. This compromise was necessary to ensure the safety of interviewers.

HOUSEHOLD SELECTION: Following the listing, the 10 households to be interviewed were selected from the listed households. These households were selected systemically after sorting by the order in which the households were listed. This systematic sampling helped to ensure that the selected households were well dispersed across the EA and thereby limit the potential for clustering of the selected households within an EA.

Occasionally, interviewers would encounter selected households that were not able to be interviewed (e.g. due to migration, refusal, etc.). In order to preserve the sample size and statistical power, households that could not be interviewed were replaced with an additional randomly selected household from the EA. Replacement households had to be requested by the field teams on a case-by-case basis and the replacement household was sent by the CAPI managers from NBS headquarters. Interviewers were required to submit a record for each household that was replaced, and justification given for their replacement. These replaced households are included in the disseminated data. However, replacements were relatively rare with only 2% of sampled households not able to be interviewed and replaced.

Sampling deviation

Although a sample was initially drawn for Borno state, the ongoing insurgency in the state presented severe challenges in conducting the survey there. The situation in the state made it impossible for the field teams to reach large areas of the state without compromising their safety. Given this limitation it was clear that a representative sample for Borno was not possible. However, it was decided to proceed with conducting the survey in areas that the teams could access in order to collect some information on the parts of the state that were accessible.

The limited area that field staff could safely operate in in Borno necessitated an alternative sample selection process from the other states. The EA selection occurred in several stages. Initially, an attempt was made to limit the frame to selected LGAs that were considered accessible. However, after selection of the EAs from the identified LGAs, it was reported by the NBS listing teams that a large share of the selected EAs were not safe for them to visit. Therefore, an alternative approach was adopted that would better ensure the safety of the field team but compromise further the representativeness of the sample. First, the list of 788 EAs in the LGA master sample for Borno were reviewed by NBS staff in Borno and the EAs they deemed accessible were identified. The team identified 359 EAs (46%) that were accessible. These 359 EAs served as the frame for the Borno sample and 60 EAs were randomly selected from this frame. However, throughout the course of the NLSS fieldwork, additional insurgency related events occurred which resulted in 7 of the 60 EAs being inaccessible when they were to be visited. Unlike for the main sample, these EAs were not replaced. Therefore, 53 EAs were ultimately covered from the Borno sample. The listing and household selection process that followed was the same as for the rest of the states.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two sets of questionnaires – household and community – were used to collect information in the NLSS2018/19. The Household Questionnaire was administered to all households in the sample. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.

Household Questionnaire: The Household Questionnaire provides information on demographics; education; health; labour; food and non-food expenditure; household nonfarm income-generating activities; food security and shocks; safety nets; housing conditions; assets; information and communication technology; agriculture and land tenure; and other sources of household income.

Community Questionnaire: The Community Questionnaire solicits information on access to transported and infrastructure; community organizations; resource management; changes in the community; key events; community needs, actions and achievements; and local retail price information.

Cleaning operations

CAPI: The 2018/19 NLSS was conducted using the Survey Solutions Computer Assisted Person Interview (CAPI) platform. The Survey Solutions software was developed and maintained by the Development Economics Data Group (DECDG) at the World Bank. Each interviewer and supervisor was given a tablet

Transport Fare Watch (December 2021)
This dataset falls under the category Public Transport Timetable-bound PT.
It contains the following data: This report shows Transport Fare for December 2021 covering the following categories: bus journey within the city per drop constant route; bus journey intercity, state route, charge per person; air fare charge for specified routes single journey; journey by motorcycle (Okada) per drop; and water way passenger transport.
This dataset was scouted on 02/06/2022 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://nigerianstat.gov.ng/elibrary/read/1241118See URL for data access and license information.

Abstract

The purpose of the survey is to reduce Maternal and Child mortality rate in the country, by implementing the IMNCH week programme

• Using integrated package of health and Nutrition interventions using the existing systems for children under five years of age and women -To carry out on the spot check of the activities implemented
• Collect state level implementation report to enhance timely collation and analysis of the state level coverage data on the whole interventions provided by each state.
• Identify best pratices gaps and make recommendations to improve on subsequent MNCH Week (November 2011 edition)

Geographic coverage

State

Analysis unit

Individuals, Families/Households, groups, facilities, institutions/organizations, Health Workers

Universe

children under five years

Kind of data

Nationally and regionally representative sample survey data (SSD)

Sampling procedure

The sample size comprise of 5% of the target population of children under five years it is a multi-stage sampling cluster.

Sampling deviation

The enoculators could not cover the entire state at the proposed day, two more day had to be included to be able to mop up the exercise Some of the health facilities was ground due to no health work to take up the task

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was designed in collaboration with FMOH, and other stakeholders.

At both central- and state-level trainings, each question in the questionnaire was reviewed and role-played and possible challenges were identified and addressed.

The questionnaires were grouped fifteen sections:

Vaccination Team Code OPV Vials Received and used DPT Vials Received and used HepB Vials Received and used Measles Vials Received and used Diluent for Measles Received and used Yellow Fever Vials Received and used Diluent for Yellow Fever Received and used TT Received and used AD Syringes Received and used Reconstitution Syringes Received and used SP Received and used ALB Received and used Folate Received and used No. of AEFI Reported Received and used

Cleaning operations

After data entry, the data was cleaned

Response rate

The response rate was high, with the few exception who reject their wards from being vaccinated

Sampling error estimates

No sampling error estimate

Data appraisal

Other forms of Appraisal were done

Proportion of Immunization coverage among children 12-23 months by Card and Recall, 2018, National Bureau of Statistic, 2018, https://nigerianstat.gov.ng/download/839

Abstract

Four federal agencies namely, National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), Federal Ministry of Agriculture & Rural Development (FMA&RD), and Federal Ministry of Commerce (FMC), jointly conducted three survey rounds through the National Survey of Agricultural Exportable crop Commodities (NSAEC). It is believed that the survey results would give both government and non-governmental agencies ample opportunity to address the paucity of reliable agricultural data in Nigeria.

The survey included 14 export crops: cashew, cocoa, coffee, garlic, ginger, groundnut, arabic gum, palm oil, rubber, sesame seeds, shea nuts, sugar cane, and tea.

This dataset is based on the third round of the National Survey of Agricultural Export Commodities. Previous rounds were conducted in 2002/2003 and 2004/2005.

The major objectives of the survey included:

i. To ascertain the spread of the cultivation of each of the fourteen export crops within Nigeria in terms of area cultivated by state.

ii. To provide national baseline data on agricultural export commodities.

iii. To provide structural data on agricultural export commodities in Nigeria.

iv. To obtain socio-economic data and demographic characteristics of holders within households.

v. To provide production estimates at national and state levels.

Geographic coverage

National and state

Analysis unit

Household

Universe

Household export crop holders

Kind of data

Sample survey data [ssd]

Sampling procedure

A 2-stage sample design was employed.

In the first stage, 192 Local Government Areas (LGAs) from the complete list of 774 LGAs were selected nationwide. Next 10 enumeration areas (EAs), demarcated by the National Population Commission during the 1991 population census, were systematically selected from each sampled LGA, for a total of 1,920 EAs.

In the second stage, 10 export crop farming housing units were systematically selected from each sampled EA (provided there were more than 10 farming housing units in the EA). Where there were 10 or less farming housing units no selection was required, and all available housing units were studied.

Sampling deviation

Of the expected 1,920 EAs only 1,855 were found to have export crops and were eventually studied. Out of the 18,550 export crop farm housing units expected to be covered, 16,310 were canvassed.

Mode of data collection

Face-to-face [f2f]

Research instrument

Agricultural Holding Questionnaire:

Section I: Holding Identification Section Ii: Access to Land
Section Iii: Source of Funds
Section Iv: Export Crop Farming Section Vii: Market Channel Section Viii: Quantity Sold Section X: Quantity Consumed
Section Xi: Use of Fertilizer
Section Xii: Use of Pesticides Section Xiii: Use of Improved Seedling/Seed

Some modifications were made on the 2003 questionnaire.

Cleaning operations

All questionnaires were retrieved from the field by the enumerators and submitted to the sub-offices. Next the questionnaires were organized according to EAs and were taken to the NBS state offices and finally to the zonal offices. Three NBS zonal headquarters (Ibadan, Kaduna and Enugu) were chosen for the last destination of retrieval of the questionnaires. In the case of southwest and north-central zones were merged together for the submission their records at NBS zonal headquarters in Ibadan. Northwest and northeast zones were combined to submit their records at NBS zonal headquarters in Kaduna. Finally, the southeast and southern zones were joined together to submit their records to NBS zonal headquarters in Enugu.

The completed questionnaires were collated and edited manually:

a. Office editing and coding were done by the editor using visual control of the questionnaire before data entry b. Imps was used to design the data entry template provided as an external resource c. Six operators plus two supervisor and two programmers were used d. Six machines were used for data entry e. After data entry, supervisors run frequencies on each section to see that all the questionnaire were entered f. Conversion programs were written to convert the data to SPSS also provided as an external resource

Response rate

On a national basis, 100% response rate was acheived at the LGA level and 96.61% at the EA level. While 87.92% was acheived at the export crop farming housing units level.

Sampling error estimates

No sampling error estimate

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

Executive Summary

Introduction
This report is based on the Nigeria Multiple Indicator Cluster Survey (MICS 5) 2016-17, conducted between September 2016 and January 2017 by National Bureau of Statistics (NBS), with technical and financial support from UNICEF, WHO, UNFPA, Bill and Melinda Gates Foundation, Save One Million Lives and NACA. The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programmes, and for monitoring progress toward national goals and global commitments. Among these global commitments are those emanating from the World Fit for Children Declaration and Plan of Action, the goals of the United Nations General Assembly Special Session on HIV/AIDS, the Education for All Declaration and the Millennium/Sustainable Development Goals (MDGs/SDGs). The Nigeria Multiple Indicator Cluster Survey 2016-17 has been designed to measure achievements of MDGs and provide baseline for SDGs. More specifically, Nigeria MICS 2016-17 will assist UNICEF in monitoring and evaluating its country programmes including those on child survival, development, protection and rights of children, women and men. The 2016-17 Nigeria National immunisation Coverage Survey (NICS) was embedded within the Nigeria Multiple Indicator Cluster Survey (MICS) 2016-17 and designed to provide routine immunisation vaccination coverage in children aged 12 to 23 months at the national level, 36 States and the Federal Capital Territory (Abuja). MICS is a household survey designed to provide information on indicators related to the situation of children, women and men.

Survey Objectives The objectives of Nigeria Multiple Indicator Cluster Survey (MICS) 2016-17 and NICS 2016/17 are to: (1) Provide up-to-date information for assessing the situation of children and women in Nigeria (2) Generate data for the critical assessment of the progress made in various programme areas, and to identify areas that require more attention (3) Contribute to the generation of baseline data for the SDG (4) Provide data needed for monitoring progress toward goals established in the post Millennium Declaration and other internationally agreed goals, as a basis for future action (5) Provide disaggregated data to identify disparities among various groups to enable evidence based actions aimed at social inclusion of the most vulnerable. (6) Provide reliable data for: a. Immunisation coverage of children age 12 to 23 months for the basic antigens: BCG, DPT 1-3, OPV 0-3, Measles b. Immunisation coverage of children age 12 to 23 months for complementary antigens: Yellow fever, Hepatitis B and Vitamin A (7) Estimate the trend of Immunisation coverage since 2006 (8) Provide a geographical database on Immunisation coverage (for mapping) (9) Determine the most frequent obstacles to utilization of Immunisation services (10) Provide information on reasons for utilization or non-utilization of Immunisation services

Sample and Survey Methodology
MICS sample design The Nigeria MICS 2016-17 was designed to provide estimates for a number of indicators on the situation of children women and men at national, urban/rural, states and for the six geopolitical zones. States in each zone were identified as the main sampling strata and were also the principal units in which Nigeria MICS 2016-17 indicators were reported while enumeration areas (EAs) within each state were used as the primary sampling units (PSUs). The sample size computation of the Nigeria MICS 2016-17 was based on the estimated prevalence of stunting in children aged below five years of age – it was proposed that 60 randomly selected EAs per state would be sufficient for estimating MICS indicators at state level. In Kano and Lagos states the respective state bureaus of statistics requested for larger sample sizes to allow for reporting of indicators by senatorial districts. A senatorial district is an administrative region represented by a senator in Nigeria; there are three (3) senatorial districts in each of the 36 states and one senatorial district in the FCT (Abuja). The sample required to allow for reporting by senatorial district level in both Kano and Lagos was 120 EAs. The combined sample of 60 enumeration areas per state and 120 enumeration areas in Lagos and Kano is referred to as as the “MICS sample”.

NICS (National Immunisation Coverage Survey) Sample design The Nigeria NICS 2016-17 sample design based on precise estimation of pentavalent 3 vaccination coverage within ±10% in each state (reporting domain). When the proposed MICS samples were evaluated, it was realised that the “MICS sample” would not have been sufficient to estimate state vaccination coverage for children aged 12 to 23 months in 20 out of the 37 states based on the desired precision parameters. These states were Abia, Akwa Ibom, Anambra, Bayelsa, Benue, Cross River, Delta, Edo, Ekiti, Enugu, Imo, Kogi, Kwara, Ogun, Ondo, Osun, Oyo, Plateau, Rivers and FCT (Abuja). Consequently, to enable precise estimation of vaccination indicators in each state, supplemental sampling was conducted to meet the requirements for vaccine coverage estimation, in the 20 whose MICS 2016-17 was deficient. Immunisation indicators in these 20 states were estimated from analysis of the combined sample (supplemental sample + original MICS sample), while estimation of other MICS indicators these 20 states were done exclusively using the MICS sample.

Questionnaires
Nigeria MICS 2016-17 questionnaires Questionnaires for the Nigeria, MICS 2016-17 were based on adaptations of standard MICS questionnaires and were used to collect data on household and individual level parameters including information on immunisation status of children aged 12 to 23 months. A household questionnaire was administered to the household head or their representative to ascertain household level characteristics such as the size of the household, household composition, occupation of household head, household asset ownership and access to water and sanitation. Individual level question o3 months and that only components of the questionnaire collecting age, gender and vaccination status were administered. The questionnaires used in Nigeria, NICS 2016/17 were based on the MICS5 questionnaire adapted for Nigeria. NICS 2016/17 was based on information collected from a household and an immunisation questionnaire. The household questionnaire was used to collect socio-demographic information and other general characteristics on all members of the household (usual residents), household and the dwelling units. Responses needed for computation of immunisation coverage indicators were contained in the household questionnaire and in the under-five questionnaire from the MICS set of questionnaires

Fieldwork and Data Processing
Training for the fieldwork was conducted in thirty-one (31) days in August 2016. The data were collected by 78 teams; each team comprised of four interviewers, one driver, the measurer and a supervisor. Fieldwork began in September, 2016 and concluded in January 2017. Using Computer Assisted Personal Interviewing (CAPI), the data were electronically captured from the field and transmitted to a central server, using CSPro CAPI application, Version 5.0. Data were analysed using the Statistical Package for Social Scientists (SPSS) software, Version 21. Model syntax and tabulation plans developed by UNICEF MICS team were customized and used for this purpose.

Data management and analysis Data were simultaneously collected in the core (MICS) and in the supplemental EAs by teams of enumerators who had attended similar training. All data were collected electronically using CAPI program designed using CSPro and running on tablet computers. Collected data were synchronized with a centralized, password protected server managed by NBS. Data processing included identification and resolution of inconsistencies and recoding of variables. Following data cleaning, two datasets were generated:

1) MICS dataset containing data collected only from the core (MICS) EAs MICS dataset was used for the analysis of all non-immunisation related indicators in the Nigeria MICS 2016-17 report and table CH.1: of the child health chapter while the MICS/NICS dataset was used for generation of tables CH.2A to CH.2F of the same report. In addition, further analysis of the MICS/NICS dataset is presented as a separate report Nigeria, National Immunisation Coverage Survey 2016/17, Final Report.

MICS dataset can be found on the Nigeria Data Archive (NADA) page hosted on the NBS website http://www.nigerianstat.gov.ng/nada/index.php/catalog/57

2) MICS/NICS dataset which was an aggregation of data collected from the core (MICS) EAs and the supplemental EAs. Link to MICS/NICS dataset can be found here http://www.nigerianstat.gov.ng/nada/index.php/catalog/57 A variable labelled source is used to identify whether data for an observation was collected from the core (MICS) EAs or from the supplemental EAs. In the Nigeria MICS 2016-17 report, table CH.1 has been generated from the core MICS sample and includes 5577 children aged between 12 and 23 months. Tables CH2.A to tables CH2.F are computed from the combined sample of core MICS enumeration areas and the supplemental enumeration of 6268 children aged between 12 and 23 months. Given that tables CH.2.1 to CH.2.6 have been produced from a larger sample, their estimates have much narrower confidence bounds especially for state level estimates.

Steps for combining data from core (MICS) EAs and data from supplemental (NICS) EAs to 1) Filter CH dataset from core EAs and extract data for children aged between 12 and 23 months and keeping only variables related to child demographic characteristics and immunisation. 2) Combine data from core EAs and data from supplemental EAs

Characteristics of Households