Nigeria Malaria Indicator Survey 2015

The Nigeria Malaria Indicator Survey (MIS) 2015 is part of phase 7 of the Demographic and Health Survey series. The survey was designed to provide information on the knowledge and practice of malaria prevention in Nigeria. Topics covered also include birth history, child mortality, and demographic characteristics. Blood smear parasitemia and finger prick blood tests were conducted for the presence of anemia and malaria in children ages 6-59 months.

Name of data collection activity

Nigeria Malaria Indicator Survey 2015

Year of implementation




Frequency of Implementation

Every five years

Geographical Coverage


States Implemented

Abia, Adamawa, Anambra, Akwa Ibom, Bauchi, Bayelsa, Benue, Borno, Cross River, Delta, Ebonyi, Enugu, Edo, Ekiti, Gombo, Imo, Jigawa, Kaduna, Kano, Katsina, Kebbi, Kogi, Kwara, Lagos, Nasarawa, Niger, Ogun, Ondo, Osun, Oyo, Plateau, Rivers, Sokoto, Taraba, Yobe, Zamfara, FCT

Program Area


Target group/Population of Interest

Women aged 15 to 49 years, Children aged 6 – 59 months

Population unit

Household, Individual

Type of data collection activity

Cross sectional survey

Sample size

8,034 women, 7745 households

Sampling procedure

The sampling frame for the 2015 NMIS was the 2006 National Population and Housing Census (NPHC) of the Federal Republic of Nigeria, conducted by the National Population Commission. 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 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 2015 NMIS, was defined on the basis of EAs from the 2006 EA census frame.
A two-stage sampling strategy was adopted for the 2015 NMIS. In the first stage, nine clusters (EAs) were selected from each state, including the FCT. The sample selection was done in such a way that it was representative of each state. The result was a total of 333 clusters throughout the country, 138 in urban areas and 195 in rural areas.
A complete listing of households was conducted, and a mapping exercise for each cluster was carried out in June and July 2015, with the resulting lists of households serving as the sampling frame for the selection of households in the second stage. All regular households were listed. The NPopC listing enumerators used global positioning system (GPS) receivers to record the coordinates of the 2015 NMIS sample clusters. In the second stage of the selection process, 25 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 2015 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. This sample size was selected to guarantee that key survey indicators could be produced for each of the country’s six geopolitical zones, with approximately 1,338 women in each zone expected to complete interviews. In order to produce some of the survey indicators at the state level for each of the 36 states and the FCT, interviews were expected to be completed with approximately 217 women per state.

Data collection period

October and November 2015.

Data collection tools

Rapid diagnostic test, Microscopy, Women Questionnaire, Household Questionnaire, Biomarker Questionnaire

Implementing organization

Nigerian Population Commission of Nigeria,

National Bureau of Statistics (NBS)

National Malaria Elimination program (NMEP)

National Bureau of Statistics

Funding agencies

United States Agency for International Development (USAID)

Global Fund to fight AIDS, Tuberculosis and Malaria

UK Department for International Development (DFID)

United Nations Children’s Fund (UNICEF)

ICF Internantional

No documentation available

Webpage of data collection activity