Multinomial Logistic Regression and STATA have been used to explain the variation and contribution of every explanatory variable.
The explanatory variables (gender, province, religion, place of residence, education level, and age) and the response variable (Contraception). Logistic regression is given by
![](data:image/png;base64,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)
Study setting
Rwanda is a land-locked country in the Great Rift Valley with a total population of about 12,663,116 in 2019, and the majority lives in the rural area where 17.6 % of the population is urban residents. Its population is equivalent to 0.17% of the total world population and the population density in Rwanda is 525 per Km2 where the median age is 20 years ,[ 4]. Basic on recent researches, it is shown that the fertility rate in Rwanda was 3.9 births per woman in 2020, which is reduced a half than it was in 1980 where fertility was about 8.4 births per woman (Macrotrends, Rwanda Fertility Rate 1950–2021, 2021) shows that Rwanda is taking a good step to reach the replacement level of 2.1 children per woman.
Data description
In this section of data description, the investigator will use the secondary data from Rwanda Demographic Health Survey (RDHS) 2014/2015 secondary data undertaken by National Institute of Statistics of Rwanda (NISR). The 2014–2015 Rwanda Demographic and Health Survey (RDHS)is a national sample survey directed at offering up-to-date information on the population of Rwanda, family planning, maternal and infant health, child survival, HIV/ AIDS and sexually transmitted diseases (STIs), reproductive health, and nutrition. RDHS 5 main objective is to obtain current information on demographic and health indicators including nutrition status of mothers and children, prenatal care, delivery and postnatal care, childhood diseases, pediatric immunization, and many others,[5].
The fifth RDHS targeted women aged 15–49 and men aged 15–59 from randomly selected households across the country and collected information about children under 5 years. The RDHS 2014–2015 is a nationally representative survey of 12,699 households, 13,497 women age 15–49, and 6,217 men age 15–59. A total of 12,793 households have been selected, 12,717 of which were occupied at the time of the survey. 12,699 of these households completed the household questionnaire, resulting in a reaction rate of 99.9 percent. In the 12,699 households surveyed, 13,564 women aged 15 to 49 were identified as eligible for an individual interview; interviews with 13,497 of these women were completed with a 99.5 percent reaction rate. Male interviews have been conducted in each second family. A total of 6,249 men aged 15–59 years were acknowledged in this household subsample. Of these men, 6,217 individual interviews were completed, with 99.5 percent reaction rate, [6]
Target Population
This research is mainly targeted by male and female of the ages between 15–49, as well as their families. The research used the sample of 5,954 household respondents which included the data on the target population, [7]. There are more variables and outcomes in the RDHS 2014/2015 set of data. The primary component evaluation was developed and established. The information about family planning, the various ways or methods that a couple can use to delay or avoid a pregnancy are listed in the questionnaires of RDHS 2014–2015 and questions about some characteristics of households including the method male or female use to prevent pregnancy such as male or female sterilization, IUD, Injectables, implants, pill, male or female condom, Lactational Amenorrhea Method (LAM), Rhythm Method, Standard Days Methods (SDM), Withdrawal, and Emergency Contraception.