Key information about Spain population

• The Spain population reached 48.1 million people in Dec 2023, compared with the previously reported figure of 47.5 million people in Dec 2022
• The data reached an all-time high of 48.1 million people in Dec 2023 and a record low of 28.1 million people in Dec 1950

• In the latest reports, Spain Unemployment Rate increased to 10.4 % in Sep 2025
• Monthly earnings of the Spain population was 2,680.1 USD in Jun 2025
• Spain Labour Force Participation Rate increased to 59.3 % in Sep 2025

Spain Demographic Trends

Population, Migration, and Age Trends from 1955 to 2050

By [source]

About this dataset

This dataset provides an in-depth look into the demographic information for Spain. It includes trends in population, migration, and age from 1955 to 2050. This dataset can provide understanding into the growth of Spain which has been marked as one of the fastest-growth developing countries. It reveals important statistics such as population numbers, yearly change percentages, fertility rate figures, density of people per square kilometer and more across all ages over a considerable period of time. Furthermore, it also outlines aspects such World Population Total and Country’s Share of World Pop with each country’s global rank among other nations. It will be useful for those wanting to gain insight into specific populations numbers that shape the Spanish culture today

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How to use the dataset

This dataset provides comprehensive information about the demographic trends in Spain from 1955 to 2050, including population, migration, urbanization, age and fertility rates. This data can be utilized to gain a better understanding of population structure changes of Spain over time and helps answer some important questions such as: What is the overall trend in population growth? How has migration affected population change? How is the median age changing?

To make the most effective use of this dataset you should begin by exploring each column one by one. You can see an overview of each year's data using summary statistics like mean, median or mode which can help you identify any interesting trends that might exist among these metrics. Next investigate how each statistic has changed over time by creating a line graph for each of them. These visualizations will help you compare different variables side-by-side and better understand their relationships with one another. Finally, analyze all observations together to form your conclusions about demographic patterns in Spain from 1955 to 2050 and how they have impacted its overall population makeup

Research Ideas

• To calculate the rate of population growth over the years and predict future population levels in Spain.
• To analyze migration trends of people from abroad moving to Spain and compare it to those of Spanish citizens leaving or entering the country.
• To study age trends in Spain, including median age for both general population and specific regions within the country, as well as fertility rates/birth rates for each demographic group/region

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Population_of_Spain_Historical.csv | Column name | Description | |:---------------------------------|:------------------------------------------------------------------------------| | Year | Year of the data point. (Integer) | | Population | Total population of Spain in a given year. (Integer) | | Yearly% Change | Percentage change in population from the previous year. (Float) | | Yearly Change | Change in population from the previous year. (Integer) | | Migrants (net) | Net migration rate of Spain in a given year. (Integer) | | Median Age | Median age of the population in a given year. (Float) | | Fertiliy Rate | Fertility rate of citizens in a given year. (Float) | | Density(/km2) | Population density of Spain in a given year. (Float) | | Urban Pop | Percentage of population living in urban areas in a given year. (Float) | | Urban Population | Population living in urban areas in a given year. (Integer) | | Country's Share of World Pop | Percentage ...

Geographical Information Reference of Populations of Spain “IGR Populations” in its version 0, which represents the geographical location and geometric form of the entities and areas of population that are known by a denomination, including population centers and other populations with their geographical name, and the code of the population entity to which it belongs.

The statistic presents the share of population that used social media as their main source of information for public affairs in Spain in 2019, by group age. During that year, * percent of Spaniards of ** or more years of age stated that they used digital only newspapers as their main source of information for public affairs.

Spain ES: Completeness of Death Registration with Cause-of-Death Information data was reported at 100.000 % in 2011. This stayed constant from the previous number of 100.000 % for 2010. Spain ES: Completeness of Death Registration with Cause-of-Death Information data is updated yearly, averaging 100.000 % from Dec 1992 (Median) to 2011, with 5 observations. The data reached an all-time high of 100.000 % in 2011 and a record low of 98.900 % in 1992. Spain ES: Completeness of Death Registration with Cause-of-Death Information data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Spain – Table ES.World Bank.WDI: Population and Urbanization Statistics. Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;

The National Health Survey of Spain 2017 (ENSE 2017), carried out by the Ministry of Health, Consumption and Social Welfare with the collaboration of the National Institute of Statistics, collects health information related to the population residing in Spain in 23,860 households. It is a five-yearly survey that allows knowing numerous aspects of the health of citizens at a national and regional level, and planning and evaluating actions in health matters. It consists of 3 questionnaires, household, adult and minor, which address 4 large areas: sociodemographic, health status, use of health services and health determinants.

This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 86 percent of respondents from Spain perceived products made in Germany as "slightly positive" or "very positive". The survey indicates that German products have the strongest reputation in Spain, followed by EU products.

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

This dataset is about: Body size, clutch mass and genetic information of a fragmented lizard population of Lerma, Spain.

Key information about Spain Labour Force Participation Rate

• Spain Labour Force Participation Rate increased to 59.3 % in Sep 2025, compared with 59.0 % in the previous quarter.
• Spain Labour Force Participation Rate is updated quarterly, available from Mar 2002 to Sep 2025, with an average rate of 59.9 % .
• The data reached the an all-time high of 60.5 % in Sep 2012 and a record low of 54.1 % in Mar 2002.
• Spain Labour Force Participation Rate is reported by reported by National Statistics Institute.
• In the latest reports, Spain Population reached 48.1 million people in Dec 2023.
• Unemployment Rate of Spain increased to 10.4 % in Sep 2025.
• The country's Monthly Earnings stood at 2,680.1 USD in Jun 2025.

This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 93 percent of respondents from Algeria perceived products made in Spain as "slightly positive" or "very positive".

This statistic illustrates the perception of the population that found false or misleading information about the coronavirus pandemic on different sources of information in Spain in April 2020. As of that date, ** percent of the surveyed population believed that false information about the pandemic was spread through messaging applications and social networks.

Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres above sea level. The data include birth and death days, age at capture, air temperature and calling activity. Data were collected from 2006 to 2016.

Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres above sea level. The data present information on various mating-related activities of male crickets, including age, singing activity, dominance in fights, and lifespan. Data were collected from 2006 to 2016.

The percentage of households with internet access in Spain was forecast to continuously increase between 2024 and 2029 by in total 0.7 percentage points. The internet penetration is estimated to amount to 100 percent in 2029. Notably, the percentage of households with internet access of was continuously increasing over the past years.Depicted is the share of housholds with internet access in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

As of July 2024, the population in the Region of Valencia aged between 45 and 49 years amounted to ******* inhabitants, the largest age group in the region. More information about demographics in Spain can be found in this Statista's study.

The statistic presents the share of population that used television as their main source of information for public affairs in Spain in 2019, by group age. During that year, ** percent of Spaniards of ** or more years of age stated that they used television as their main source of information for public affairs. In contrast, only ** percent of the respondents aged 18 to 24 used television as their preferred source for information that year.

Observation point was added as random factor only in model b (variance = 0. 031, SD = 0.177) because of the absent of variance in the other models.

Key information about Spain Unemployment Rate

• Spain Unemployment Rate increased to 10.45% in Sep 2025, from the previously reported figure of 10.29% in Jun 2025.
• Spain Unemployment Rate is updated quarterly, available from Mar 2002 to Sep 2025, with an average rate of 25.73%.
• The data reached an all-time high of 26.94% in Mar 2013 and a record low of 7.93% in Jun 2007.
• The data is reported by reported by National Statistics Institute.
• In the latest reports, Spain Population reached 48.09 million people in Dec 2023.