Shortcuts Indicators - Announcements and notices - Preliminary results - Macroeconomic indicators -

Shortcuts Indicators - Announcements and notices - Preliminary results - Macroeconomic indicators - Indicators Monitoring Information in brief - Prosperity Topics - Prices. Trade - Population - Jobs. Wages and salaries - Industry. Construction. Fixed Assets - National Accounts - Environment. Energy - Living - Education - Folders - Social Economy, volunteering - Infra. community. Real Estate - Culture. Tourism. Sport - Science and technology. Information society. - Studies Collective how to get blood out of clothes - Operators. Results finances. - Agriculture. Forestry - Transport and communications - Health. Welfare
The publication presents data on the types of primary and secondary sources of income populations and people how to get blood out of clothes with disabilities developed based on the results of the National Census of 2011. It contains a detailed description of the sources of income in conjunction with the characteristics of demographic and socio - economic factors like age, gender, level of education and economic activity. Also presents information on the number how to get blood out of clothes and structure of persons with disabilities by sex and age, place of residence, marital status, level of education, livelihoods and economic activity of this particular how to get blood out of clothes community of people. It should how to get blood out of clothes be emphasized that, in accordance how to get blood out of clothes with the provisions of the Law of 4 March 2010 on the national census of population and housing in 2011 to answer the questions on disability were carried out on a voluntary basis. The data from this area are derived by generalization of data collected in 20% of the sample (in the country) people living or staying in randomly selected how to get blood out of clothes homes. For selected accompanying tables have been designated output precision indicators (labeled how to get blood out of clothes CV and expressed as a percentage) allowing users to the correct assessment of the data.