In 2019, there were over 1.8 million full-time undergraduate university students in Nigeria. Sciences and social sciences counted the highest number of students. There were some considerable differences in the enrollment of female and male students. In the faculties of engineering and technology, and computing, male students represented the vast majority.

In the academic year 2018/2019, male personnel represented the vast majority of people working at Nigerian universities. This was composed of around 87 thousand and 52 thousand non-academic and academic male staff, respectively. On the contrary, women were about 65 thousand in total.

In 2019, there were some 73.4 thousand academic employees working at universities in Nigeria, including professors, readers, and lecturers. Male staff represented the majority in all disciplines. Sciences faculties, which counted the largest academic staff, had 10.8 thousand male personnel and 3.2 female employees. The lowest number of women working as academic staff among the various faculties was recorded in genetics and biotechnology, with 125 female employees.

In the academic year 2018/2019, there were 1.8 million undergraduate students in Nigerian universities. About 790 thousand were female students, which accounted for around 44 percent of all students enrolled in undergraduate programs at Nigerian universities.

In 2019, some of the most common fields of study of full-time master students in Nigeria were administration and management, education, sciences, and social sciences. Generally, male students represented the majority. In the faculties for administration and management, for instance, there were 23 thousand males and 15 thousand females.

In 2019, there were 17.6 thousand full-time Ph.D. students in Nigeria. Social Sciences counted the total highest number of doctorial students, with 2.1 thousand males and 867 females. With regards to women, 1.3 thousand students were doing a Ph.D. in education, the most common subject among females.

In 2018, the federal university in Nigeria with the highest percentage of female students was the University of Calabar. Females in this university accounted for around 54 percent of the total enrollment. Overall, the share of undergraduate female students in Nigerian federal universities was 42 percent.

In the academic year 2018/2019, male personnel represented the vast majority of people working at Nigerian university. Women represented only 24 percent of the academic staff and 36 percent of the non-academic staff.

Abstract copyright UK Data Service and data collection copyright owner.

The Work Attitudes and Spending surveys (WAS) are intended to give insight into household spending. In particular, they focus on whether the husband/head of household has complete control over household decisions, or whether the wife has significant control. They also attempt to explain the causes of women's control, or lack of it, including factors such as earnings, education, attitudes, religion, ethnic group and birthplace.

For the third edition (April 2008), the existing study materials were replaced, and further data from India (gathered in 2007), Nigeria (2003 and 2005), Kenya (2004) and Egypt (2005-2006), and accompanying documentation, were added to the dataset. The data are available as combined files, which include data from all surveys, and also as raw data files for individual countries. See READ file for full details, and for a complete edition history.


Main Topics:

The following types of information are covered by each WAS survey:

• household composition (for example, number of adults);
• household spending;
• household durable goods ownership;
• employment and earnings;
• attitudes, mainly the measurement of 'feminist' or 'machismo' views;
• demographic information, such as age;
• household financial management (i.e. who organises money).

Standard Measures
Likert Scales were used, many of which are based on the British Household Panel Study (BHPS) questionnaire (held at the UK Data Archive under SN 5151).

In the academic year 2018/2019, Nigerian universities counted 1.8 million undergraduate students and 242 thousand postgraduate students. Among master students, women accounted for 38 percent of the total, while the female percentage among bachelor students was 44 percent.

Nigeria's largest university is the National Open University of Nigeria, which had over half million students as of 2019.

Youth engagement and skills acquisition within Africa’s transport sector was a collaborative research project between Durham University, UK, the University of Sokoto, Nigeria, the South African Labour and Development Research Unit [SALDRU] at the University of Cape Town, South Africa, and the UK-based NGO Transaid. The project’s core data set deposited with RESHARE comprises in-depth interviews focused on daily mobility and transport, conducted by project academic staff and young unemployed women we trained as peer researchers at the outset of the study; a small number of focus group discussions conducted by academic staff; and diaries focused on daily mobility, mostly written by peer researchers during the pandemic. Anonymised data sets are provided for each of the three study cities. Note: The research team had also anticipated collecting quantitative data concerning the pilot trainings for transport users and transport workers led by Transaid. These were to have comprised baseline assessments, followed by post-intervention surveys after one month and six months to assess skills uptake among participating women. Although Transaid staff succeeded in implementing pilot training interventions in each city, in the final months of the project, COVID constraints limited recruitment numbers and the collection of baseline data amenable to statistical analysis. Collection of post-intervention data has not been possible due to COVID constraints and the requirement to end the project on 31st March 2022. Transaid’s reports on the pilot interventions will be made available on the project website: https://transportandyouthemploymentinafrica.com

Acknowledging the importance of mobilising Africa's young women into the labour-force, this research addresses the specific impediments presented by a highly gendered transport and travel arena and the implications this has for girls' and women's current/future access to meaningful work. Women of all ages are discriminated against, both with regard to access and use of transport (which affects their access to skills acquisition and employment across all sectors) and with reference to their employment within the transport sector itself. Relevant skills acquisition at an early age, for safely navigating transport and more equitably seeking employment is essential if they are to break through such barriers.

We aim to understand and address these challenges through in-depth participatory research with young women of low socio-economic status in peripheral locations of Nigeria, South Africa and Tunisia (one city-region per country), including piloting of skills-based interventions. The research has three, interlinked strands: a)The User Strand comprises research into improving young women's use of transport to access training programmes and employment, built around the following questions: -What are the economic, social and infrastructural determinants of the transport ecology in which young women are located and how does it impact on their transport experiences and behaviours? -How is young women's physical access to meaningful work and associated skills building shaped by their travel potential and access to transport (i.e. especially travel safety and security for women resident in low income areas)? -What key skills do young women need if they are to travel safely to work and training opportunities (whether as pedestrians, as cyclists, or when negotiating public transport)? -How can appropriate safe travel skills training be provided? -What wider interventions are needed to support a safe travel skills programme [e.g. from government, transport unions, NGOs, private sector] i.e. with reference to the multiple layers of political, economic and socio-cultural decision-making processes?

b)The Employment Strand comprises research into improving women's access to skills (e.g. commercial driving, vehicle repair/ maintenance) to enable them to obtain more meaningful employment within the transport sector, built around the following questions: - How have historical, social, political and economic legacies of planning and policy processes impacted on opportunities for women's employment in the transport sector? -How can young women's aspirations to work in this sector be expanded and enhanced? -What do young women perceive as the main barriers to skills acquisition and subsequent employment in the sector? -What skills training can be provided to enable young women to play a more prominent role in the sector? -What wider interventions are needed to support training programmes to improve women's employment in this sector [e.g. from government, unions, NGOs, the private sector]

c)The Action Research Strand builds on User and Employment Strand findings. It will pilot transport-related skills training for young women, to improve their access to employment [both directly, through employment in the transport sector and indirectly, through travel safety skills to...

In 2018, the state university in Nigeria with the highest percentage of female students was the Ignatius Ajuru University of Education. Women in this university accounted for around 64 percent of the total enrollment. Overall, the share of undergraduate female students in Nigerian state universities was 45 percent.

In 2019, some of the most common fields of study of full-time postgraduate diploma students in Nigeria were administration and management, education, sciences, and social sciences. Generally, male students represented the majority. In the faculties for administration and management, for instance, there were 11.3 thousand males and 8.7 thousand females.

Abstract

The 2010 Nigeria Malaria Indicator Survey (2010 NMIS) was implemented by the National Population Commission (NPC) and the National Malaria Control Programme (NMCP). ICF International provided technical assistance through the MEASURE DHS programme, a project funded by the United States Agency for International Development (USAID), which provides support and technical assistance in the implementation of population and health surveys in countries worldwide. It was carried out from October to December 2010 on a nationally representative sample of more than 6,000 households. All women age 15-49 in the selected households were eligible for individual interviews. During the interviews, they were asked questions about malaria prevention during pregnancy and the treatment of fever among their children. In addition, the survey included testing for anaemia and malaria among children age 6-59 months using finger (or heel) prick blood samples. Test results were available immediately and were provided to the children’s parents or guardians. Thick blood smears and thin blood films were also made in the field and transported to the Department of Medical Microbiology and Parasitology at the College of Medicine, University of Lagos. Microscopy was performed to determine the presence of malaria parasites and to identify the parasite species. Slide validation was carried out by the University of Calabar Teaching Hospital in Calabar.

The 2009-2013 National Strategic Plan for Malaria Control in Nigeria aims to massively scale up malaria control interventions in parts of the country. The 2010 Nigeria Malaria Indicator Survey (NMIS) was, therefore, designed to measure progress toward achieving the goals and targets of this strategic plan by providing data on key malaria indicators, including ownership and use of bed nets, diagnosis and prompt treatment of malaria using artemisinin-based therapy (ACT), indoor residual spraying, and behaviour change communication.

The following are the specific objectives of the 2010 NMIS: - To measure the extent of ownership and use of mosquito bed nets - To assess the coverage of intermittent and preventive treatment programmes for pregnant women - To identify practices used to treat malaria among children under age 5 and the use of specific antimalarial medications - To measure the prevalence of malaria and anaemia among children age 6-59 months - To determine the species of plasmodium parasite most prevalent in Nigeria - To assess knowledge, attitudes, and practices regarding malaria in the general population

Geographic coverage

National

Analysis unit

• Household,
• Individual.

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, and all children age 6-59 months living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2010 Nigeria Malaria Indicator Survey (NMIS) called for a nationally representative sample of about 6,000 households. The survey is designed to provide information on key malaria-related indicators including mosquito net ownership and use, coverage of preventive treatment for pregnant women, treatment of childhood fever, and the prevalence of anaemia and malaria among children age 6-59 months. The sample for the 2010 NMIS was designed to provide most of these indicators for the country as a whole, for urban and rural areas separately, and for each of the six zones formed by grouping the 36 states and the Federal Capital Territory (FCT). The zones are as follows: 1. North Central: Benue, FCT-Abuja, Kogi, Kwara, Nasarawa, Niger, and Plateau 2. North East: Adamawa, Bauchi, Borno, Gombe, Taraba, and Yobe 3. North West: Jigawa, Kaduna, Kano, Katsina, Kebbi, Sokoto, and Zamfara 4. South East: Abia, Anambra, Ebonyi, Enugu, and Imo 5. South South: Akwa Ibom, Bayelsa, Cross River, Delta, Edo, and Rivers 6. South West: Ekiti, Lagos, Ogun, Ondo, Osun, and Oyo

SAMPLING FRAME The sampling frame used for the 2010 NMIS was the Population and Housing Census of the Federal Republic of Nigeria, which was conducted in 2006 by the National Population Commission (NPC). Administratively, Nigeria is divided into states. Each state is subdivided into local government areas (LGAs), and each LGA is divided into localities. In addition to these administrative units, during the 2006 Population Census, each locality was subdivided into convenient areas called census enumeration areas (EAs). The primary sampling unit (PSU), referred to as a cluster for the 2010 NMIS, is defined on the basis of EAs from the 2006 EA census frame.

Although the 2006 Population Census did not provide the number of households and population for each EA, population estimates were published for more than 800 LGA units. A combination of information from cartographic material demarcating each EA and the LGA population estimates from the census were used to identify the list of EAs, estimate the number of households, and distinguish EAs as urban or rual for the survey sample frame.

SAMPLE ALLOCATION The 2010 NMIS sample was selected using a stratified, two-stage cluster design consisting of 240 clusters, 83 in the urban areas and 157 in the rural areas. (The final sample included 239 clusters because access to one cluster was prevented by inter-communal disturbances.) A sample of 6,240 households was selected for the survey, with a minimum target of 920 completed individual women's interviews per zone. Within each zone, the number of households was distributed proportionately among urban and rural areas. A fixed 'take' of 26 households per cluster was adopted for both urban and rural clusters.

SAMPLING PROCEDURE AND UPDATING OF THE SAMPLING FRAME The 2010 NMIS sample is a stratified sample selected in two stages. The primary sampling units (PSUs) are the enumeration areas (EAs) from the 2006 census, and the secondary sampling units (SSUs) are the households. In the first stage of selection, the 240 EAs were selected with a probability proportional to the size of the EA, where size is the number of approximate households calculated within the sampling frame.

A complete listing of households and a mapping exercise for each cluster was carried out from August through September 2010. The lists of households resulting from this exercise served as the sampling frame for the selection of households in the second stage. In addition to listing the households, the NPC listing enumerators used global positioning system (GPS) receivers to record the coordinates of the 2010 NMIS sample clusters.

In the second stage of the selection process, 26 households were selected in each cluster by equal probability systematic sampling. All women age 15-49 who were either permanent residents of the households in the 2010 NMIS sample or visitors present in the households on the night before the survey were eligible to be interviewed. In addition, all children age 6-59 months were eligible to be tested for malaria and anaemia.

The sampling procedures are fully described in Appendix A of "Nigeria Malaria Indicator Survey 2010 - Final Report" pp.69-71.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two questionnaires were used in the NMIS: a Household Questionnaire and a Woman’s Questionnaire, which was administered to all women age 15-49 in the selected households. Both instruments were based on the standard Malaria Indicator Survey Questionnaires developed by the Roll Back Malaria and DHS programmes. These questionnaires were adapted to reflect the population and health issues relevant to Nigeria during a series of meetings convened with various stakeholders from the NMCP and other government ministries and agencies, nongovernmental organisations, and international donors. The questionnaires were translated into three major Nigerian languages: Hausa, Igbo, and Yoruba.

The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women who were eligible for the individual interview and children age 6-59 months who were eligible for anaemia and malaria testing. The Household Questionnaire also collected information on characteristics of the household’s dwelling unit, such as the source of water; type of toilet facilities; materials used for the floor, roof, and walls of the house; ownership of various durable goods; and ownership and use of mosquito nets. In addition, the questionnaire was used to record the results of the anaemia and malaria testing as well as the signatures of the interviewer and the respondent who gave consent. Children’s temperatures were also recorded.

The Woman’s Questionnaire was used to collect information from all women age 15-49. These women were asked questions on the following main topics: - Background characteristics (such as age, residence, education, media exposure, and literacy) - Birth history and childhood mortality - Antenatal care and malaria prevention for most recent birth and pregnancy - Malaria prevention and treatment - Knowledge about malaria (symptoms, causes, prevention, and drugs used in treatment)

Cleaning operations

The processing of data for the 2010 NMIS ran concurrently with data collection. Completed questionnaires were retrieved by the zonal coordinators or the trainers and delivered to NPC in standard envelopes, labelled with the sample ID, team number, and state name. The shipment also contained a written summary of any

In 2019, there were 17.6 thousand full-time Ph.D. students in Nigeria. Male students were about double compared to female students. The majority of them were enrolled at federal universities, which counted roughly 8.4 thousand males and over 4.2 thousand women.

In the academic year 2018/2019, there were 1.8 million undergraduate students in Nigeria. The majority of them were enrolled at federal universities, which were attended by around 663 thousand male students and 483 thousand female students.

In 2018, the private university in Nigeria with the highest percentage of female students was the Legacy University situated in Okija. Women in this university occupied around 67 percent of the total enrollment. Overall, the share of undergraduate female students in Nigerian private universities was 45 percent.

In 2019, there were some 11 thousand university professors in Nigeria. Male professors represented the majority in all disciplines. Sciences faculties, which counted the highest number of professors, had two thousand male professors and 343 female professors. The lowest number of women working as professors at Nigerian universities was recorded in the faculty for Genetics and Biotechnology, with 10 female professors.

In 2019, there were some 58 thousand full-time postgraduate diploma students in Nigeria. Male students were the majority. Federal universities had the highest number of postgraduate diploma students, which counted roughly 31 thousand men and almost 21 thousand women.

In 2019, there were over 121 thousand full-time postgraduate students in Nigeria. Male students were the majority. Federal universities had the highest number of master students, which counted roughly 62 thousand males and almost 40 thousand women.