Journal article Open Access

Awareness and Attitude towards Public Pension A Case of Informal Workers at Saba saba Market in Dodoma Municipality, Tanzania

James, S.; Hauli, E.; Mosha, P.

The study was conducted at Saba saba market in Dodoma Municipality with the objective of assessing awareness and attitude towards public pension. Study design was cross-sectional with the sample size of 282 respondents and 6 key informants. Sampling procedures consisted of both random and purposive sampling. Methods of data collection were interview and focus group discussion in which the structured questionnaire, Likert Scale and check list were tools of data collection on awareness and attitude of the respondents. Quantitative data were analyzed by Statistical Package of Social Science (SPSS) computer software by using descriptive and inferential statistics such as frequencies, percentages and chi-square test (X2) to determine association between socio-demographic characteristics and awareness on public pension. Qualitative data were analyzed through content analysis. Findings revealed that majority of respondents never heard about public pension. The findings also revealed that among the minority with awareness, it was 26 to 35 years of age which was more aware than less or more years of age. Marital status with more awareness on public pension was the married than the rest. Female sex also was more aware than males. Level of education which had more awareness on public pension was the primary education group than less or higher levels of education. However, the overall findings from (X2) test revealed that sex and marital status were socio-demographic characteristics which were significantly associated with awareness on public pension whereby X2= 3.840; p = 0.050 and X2= 9. 725; p = 0.021. Age and levels of education were negatively associated with awareness on public pension whereby the results of X2 = 5.797; p = 0.215 and X2= 4.085; p = 0.252. The findings further revealed that majority of the respondents had unfavorable attitudes towards public pension. Based on these findings recommendations have been indicated.

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