Slovenia SI: Rural Population Growth data was reported at -0.368 % in 2023. This records an increase from the previous number of -0.540 % for 2022. Slovenia SI: Rural Population Growth data is updated yearly, averaging -0.271 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 0.923 % in 1986 and a record low of -1.466 % in 1981. Slovenia SI: Rural Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Weighted average;

Educational attainment, at least completed lower secondary, population 25+, female (%) (cumulative) in Slovenia was reported at 98.3 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Slovenia - Educational attainment, at least completed lower secondary, population 25+, female (cumulative) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

Slovenia SI: Population: Total: Aged 0-14 data was reported at 319,260.000 Person in 2022. This records a decrease from the previous number of 320,184.000 Person for 2021. Slovenia SI: Population: Total: Aged 0-14 data is updated yearly, averaging 407,869.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 437,621.000 Person in 1980 and a record low of 283,797.000 Person in 2007. Slovenia SI: Population: Total: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Population and Urbanization Statistics. Total population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2022 Revision.;Sum;

Slovenia SI: Population: Male: Ages 40-44: % of Male Population data was reported at 8.021 % in 2023. This records a decrease from the previous number of 8.114 % for 2022. Slovenia SI: Population: Male: Ages 40-44: % of Male Population data is updated yearly, averaging 7.493 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 8.690 % in 1996 and a record low of 3.695 % in 1960. Slovenia SI: Population: Male: Ages 40-44: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 40 to 44 as a percentage of the total male population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

Slovenia - Population living in households considering that they suffer from noise was 13.90% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Population living in households considering that they suffer from noise - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Population living in households considering that they suffer from noise reached a record high of 19.80% in December of 2005 and a record low of 12.30% in December of 2013.

Slovenia - Population living in households considering that they suffer from noise: Below 60% of median equivalised income was 16.20% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Population living in households considering that they suffer from noise: Below 60% of median equivalised income - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Population living in households considering that they suffer from noise: Below 60% of median equivalised income reached a record high of 21.50% in December of 2007 and a record low of 10.60% in December of 2013.

Slovenia - Proportion of population aged 0-14 years was 14.70% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Proportion of population aged 0-14 years - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Proportion of population aged 0-14 years reached a record high of 15.10% in December of 2022 and a record low of 14.00% in December of 2010.

Slovenia - Proportion of population aged 65-79 years was 16.00% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Proportion of population aged 65-79 years - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Proportion of population aged 65-79 years reached a record high of 16.00% in December of 2024 and a record low of 12.40% in December of 2011.

The crude birth rate in Slovenia declined to 8.3 live births per 1,000 inhabitants in 2022. As a result, the rate in Slovenia saw its lowest number in 2022 with 8.3 live births per 1,000 inhabitants. The crude birth rate refers to the number of live births in a given year, expressed per 1,000 population. When studied in combination with the crude death rate, the rate of natural population increase can be determined.Find more statistics on other topics about Slovenia with key insights such as total life expectancy at birth, total fertility rate, and infant mortality rate.

Slovenia - Share of total population having neither a bath, nor a shower in their dwelling was 0.10% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Share of total population having neither a bath, nor a shower in their dwelling - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Share of total population having neither a bath, nor a shower in their dwelling reached a record high of 0.70% in December of 2014 and a record low of 0.10% in December of 2023.

Slovenia - Population with confidence in EU institutions in partnership with European Commission was 38.00% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Population with confidence in EU institutions in partnership with European Commission - last updated from the EUROSTAT on February of 2025. Historically, Slovenia - Population with confidence in EU institutions in partnership with European Commission reached a record high of 73.00% in December of 2006 and a record low of 30.00% in December of 2015.

Slovenia SI: Population: Male: Ages 35-39: % of Male Population data was reported at 7.236 % in 2023. This records a decrease from the previous number of 7.324 % for 2022. Slovenia SI: Population: Male: Ages 35-39: % of Male Population data is updated yearly, averaging 7.813 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 8.838 % in 1990 and a record low of 6.050 % in 1960. Slovenia SI: Population: Male: Ages 35-39: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 35 to 39 as a percentage of the total male population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

In 2021, Slovenia's incarceration rate was 53.9 per 100,000 population, one of the lowest in Europe in that year. Between 2008 and 2021 the incarceration rate in Slovenia peaked in 2014 when it was 73.8 and reached a lowest point in the most recent year.

Slovenia SI: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Female: % Cumulative data was reported at 98.298 % in 2022. This records a decrease from the previous number of 98.330 % for 2021. Slovenia SI: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Female: % Cumulative data is updated yearly, averaging 96.080 % from Dec 1991 (Median) to 2022, with 19 observations. The data reached an all-time high of 98.330 % in 2021 and a record low of 44.830 % in 1991. Slovenia SI: Educational Attainment: At Least Completed Lower Secondary: Population 25+ Years: Female: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed lower secondary education.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed September 30, 2024. https://apiportal.uis.unesco.org/bdds.;;

Slovenia - Employment and activity: Total employment (resident population concept - LFS) was 72.90% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Employment and activity: Total employment (resident population concept - LFS) - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Employment and activity: Total employment (resident population concept - LFS) reached a record high of 73.90% in September of 2022 and a record low of 61.90% in March of 2013.

Slovenia SI: Population: as % of Total: Female data was reported at 49.786 % in 2023. This records a decrease from the previous number of 49.802 % for 2022. Slovenia SI: Population: as % of Total: Female data is updated yearly, averaging 51.538 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 53.544 % in 1960 and a record low of 49.786 % in 2023. Slovenia SI: Population: as % of Total: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Population and Urbanization Statistics. Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2024 Revision.;Weighted average;

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which

Slovenia - Share of total population considering their dwelling as too dark: Females was 4.60% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Share of total population considering their dwelling as too dark: Females - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Share of total population considering their dwelling as too dark: Females reached a record high of 15.70% in December of 2009 and a record low of 4.20% in December of 2019.

Slovenia SI: Population: as % of Total: Female: Aged 65 and Above data was reported at 24.105 % in 2023. This records an increase from the previous number of 23.678 % for 2022. Slovenia SI: Population: as % of Total: Female: Aged 65 and Above data is updated yearly, averaging 14.145 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 24.105 % in 2023 and a record low of 8.763 % in 1960. Slovenia SI: Population: as % of Total: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Population and Urbanization Statistics. Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Slovenia - Population reporting occurrence of crime, violence or vandalism in their area: Below 60% of median equivalised income was 6.70% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovenia - Population reporting occurrence of crime, violence or vandalism in their area: Below 60% of median equivalised income - last updated from the EUROSTAT on March of 2025. Historically, Slovenia - Population reporting occurrence of crime, violence or vandalism in their area: Below 60% of median equivalised income reached a record high of 11.60% in December of 2009 and a record low of 6.30% in December of 2019.