|Population at 01/01/2018
|Inflation within 2017
|CPI within 2017
|GDP within 2017
||61,1 bln. somoni
|1 US Dollar
|10 Russian roubles
About Gender Statistics
Gender statistics is an integral part of each traditional area of statistics and provides for the identification, production and dissemination of statistical data reflecting the real lives of women and men, and is taken into account in the development of gender policy.
Gender statistics not only collects data disaggregated by sex, but by identifying the relationship between men and women affects the issues of availability and use of data and indicators.
Neither women nor men are homogeneous groups: due to economic, geographic, social, or cultural differences, individuals of each sex may be more vulnerable compared to others.
The term "gender" does not replace the term “sex” that refers only to biological differences between women and men. Characteristics associated with gender are universal and unchanging. In contrast to the sex, gender defines social relations between men and women, which may result in different political, economic or cultural impact.
Gender statistics is not only a compilation of statistics on women, but is something more than a mere division of statistics by gender. The compilation of statistics that adequately reflects the gender, suggests that all statistics should be produced taking into account different socio-economic realities of women and men at the community level. This means that all the statistical data (both data related to individuals and data not related to these individuals) should be collected, compiled and analyzed from a gender perspective that differently affects women and men.
Thus, to create an accurate picture, further breakdown by age, type of settlement, education, employment, ethnicity and other factors is necessary.
It should be noted that gender is a structural difference that affects the entire population. Neither women nor men should not be construed as a special group among several similar groups. In addition, gender not only influences, but often reinforces differences and vulnerability created by other structural differences, such as race, ethnicity, social welfare, age, disability, sexual orientation, etc.
Gender statistics development will benefit the entire system of collection and use of official statistics. This includes:
• ensuring that the statistics are relevant and useful to stakeholders;
• analysis of existing data collection methods in order to avoid possible effects of gender bias or providing unilateral data only for men or only for women;
• harmonization of data collection, storage, analysis and dissemination;
• improved coordination between data producers;
• introduction of international standards and statistical methods;
• improving the analysis of statistical data, their presentation, dissemination and use;
• introduction of new sets of statistics to meet user demand for information.
Specific function-detection of changes in the society regarding gender situation over timeis inherent in the gender-sensitive indicators.
The benefit from indicators underlies in their ability to point to a change in the status and role of women and men in time, and thus measure, whether the goal of gender equity is achieved.
Based on gender-sensitive indicators, the main strategy consists of the combined use of quantitative and qualitative methods for measuring changes in the gender status of the society that take place over time.
Gender analysis is a tool for gender mainstreaming in national policies and programs and is vital both for understanding the conditions under which local government programs or policies operate, and for the promotion of gender equality. This analysis deals with techniques that can be used to identify and interpret the socio-economic consequences of gender inequality, gender differences and relationships in order to further reduce these differences by means of specific interventions, policies and programs.