The number of inhabitants living in San Luis Potosí amounted to more than 2.87 million in 2022, having steadily increased since 2008, when less than 2.6 million people lived there.

Mexico Population: Female: San Luis Potosi data was reported at 1,440.223 Person th in 2018. This records an increase from the previous number of 1,428.935 Person th for 2017. Mexico Population: Female: San Luis Potosi data is updated yearly, averaging 1,100.364 Person th from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 1,440.223 Person th in 2018 and a record low of 658.553 Person th in 1970. Mexico Population: Female: San Luis Potosi data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: by State.

As of 2020, the Mexican state of San Luis Potosi accommodated a population of approximately 2.82 million inhabitants. The gender distribution among the residents was relatively equal, with women comprising 51.4% and men making up 48.6% of the total population.

Mexico Population: San Luis Potosi data was reported at 2,814.553 Person th in 2018. This records an increase from the previous number of 2,792.725 Person th for 2017. Mexico Population: San Luis Potosi data is updated yearly, averaging 2,181.348 Person th from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 2,814.553 Person th in 2018 and a record low of 1,332.736 Person th in 1970. Mexico Population: San Luis Potosi data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: by State.

Chart and table of population level and growth rate for the San Luis Potosi, Mexico metro area from 1950 to 2025.

Historical dataset of population level and growth rate for the San Luis Potosi, Mexico metro area from 1950 to 2025.

Mexico Average Years in School: Population: 15 Years & Above: Female: San Luis Potosi data was reported at 9.640 Year in 2020. This records an increase from the previous number of 8.850 Year for 2015. Mexico Average Years in School: Population: 15 Years & Above: Female: San Luis Potosi data is updated yearly, averaging 8.545 Year from Dec 2000 (Median) to 2020, with 4 observations. The data reached an all-time high of 9.640 Year in 2020 and a record low of 6.780 Year in 2000. Mexico Average Years in School: Population: 15 Years & Above: Female: San Luis Potosi data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G016: Education Statistics: Age 15 and Above.

5.5 (Percent) in 2010. All the people who reside in the country at the time of the interview, whether domestic or foreign. It includes Mexican diplomats functioning overseas and family members residing with them, those who cross the border daily to work in another country, and homeless population. Do not include foreigners who do office or diplomatic work in the country or their families. Until 1900 Quintana Roo was included in Yucatan, Baja California Sur was included in Baja California. Figures for the following census dates: October 20 (1895), October 28 (1900), October 27 (1910), November 30 (1920), May 15 (1930), March 6 (1940), June 6 (1950), June 8 (1960), January 28 (1970), June 4 (1980), March 12 (1990), November 5 (1995), February 14 (2000), 19 October (2005) and June 12 (2010).

Mexico Life Expectancy at Birth: Male: San Luis Potosi data was reported at 72.050 Year in 2018. This records an increase from the previous number of 71.940 Year for 2017. Mexico Life Expectancy at Birth: Male: San Luis Potosi data is updated yearly, averaging 69.480 Year from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 72.720 Year in 2006 and a record low of 56.680 Year in 1970. Mexico Life Expectancy at Birth: Male: San Luis Potosi data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G006: Life Expectancy at Birth: by State.

Mexico Number of Emigrants: San Luis Potosi data was reported at 42.991 Person th in 2015. This records a decrease from the previous number of 66.230 Person th for 2010. Mexico Number of Emigrants: San Luis Potosi data is updated yearly, averaging 66.230 Person th from Dec 1975 (Median) to 2015, with 9 observations. The data reached an all-time high of 165.585 Person th in 1995 and a record low of 31.759 Person th in 1975. Mexico Number of Emigrants: San Luis Potosi data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G007: Number of Emigrants.

Abstract

In order to develop various methods of comparable data collection on health and health system responsiveness WHO started a scientific survey study in 2000-2001. This study has used a common survey instrument in nationally representative populations with modular structure for assessing health of indviduals in various domains, health system responsiveness, household health care expenditures, and additional modules in other areas such as adult mortality and health state valuations.

The health module of the survey instrument was based on selected domains of the International Classification of Functioning, Disability and Health (ICF) and was developed after a rigorous scientific review of various existing assessment instruments. The responsiveness module has been the result of ongoing work over the last 2 years that has involved international consultations with experts and key informants and has been informed by the scientific literature and pilot studies.

Questions on household expenditure and proportionate expenditure on health have been borrowed from existing surveys. The survey instrument has been developed in multiple languages using cognitive interviews and cultural applicability tests, stringent psychometric tests for reliability (i.e. test-retest reliability to demonstrate the stability of application) and most importantly, utilizing novel psychometric techniques for cross-population comparability.

The study was carried out in 61 countries completing 71 surveys because two different modes were intentionally used for comparison purposes in 10 countries. Surveys were conducted in different modes of in- person household 90 minute interviews in 14 countries; brief face-to-face interviews in 27 countries and computerized telephone interviews in 2 countries; and postal surveys in 28 countries. All samples were selected from nationally representative sampling frames with a known probability so as to make estimates based on general population parameters.

The survey study tested novel techniques to control the reporting bias between different groups of people in different cultures or demographic groups ( i.e. differential item functioning) so as to produce comparable estimates across cultures and groups. To achieve comparability, the selfreports of individuals of their own health were calibrated against well-known performance tests (i.e. self-report vision was measured against standard Snellen's visual acuity test) or against short descriptions in vignettes that marked known anchor points of difficulty (e.g. people with different levels of mobility such as a paraplegic person or an athlete who runs 4 km each day) so as to adjust the responses for comparability . The same method was also used for self-reports of individuals assessing responsiveness of their health systems where vignettes on different responsiveness domains describing different levels of responsiveness were used to calibrate the individual responses.

This data are useful in their own right to standardize indicators for different domains of health (such as cognition, mobility, self care, affect, usual activities, pain, social participation, etc.) but also provide a better measurement basis for assessing health of the populations in a comparable manner. The data from the surveys can be fed into composite measures such as "Healthy Life Expectancy" and improve the empirical data input for health information systems in different regions of the world. Data from the surveys were also useful to improve the measurement of the responsiveness of different health systems to the legitimate expectations of the population.

Geographic coverage

15 federal states: Distrito Federal, Guanajuato, Jalisco, Estado de México, Michoacán, Qurétaro, Guerrero, Oaxaca, Puebla, Veracruz, Yucatán, Chihuahua, Nuevo León, San Luis Potosí, Sonora

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample used was a probabilistic, multistage, stratified and clustered sample and represented urban and rural strata.

Mexico has 32 Federal States, which were divided, into 3 regions: Centre, South and North. Out of these regions, 15 were selected as follows: Centre: Distrito Federal, Guanajuato, Jalisco, Estado de México, Michoacán, Qurétaro South: Guerrero, Oaxaca, Puebla, Veracruz, Yucatán North: Chihuahua, Nuevo León, San Luis Potosí, Sonora

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data Coding At each site the data was coded by investigators to indicate the respondent status and the selection of the modules for each respondent within the survey design. After the interview was edited by the supervisor and considered adequate it was entered locally.

Data Entry Program A data entry program was developed in WHO specifically for the survey study and provided to the sites. It was developed using a database program called the I-Shell (short for Interview Shell), a tool designed for easy development of computerized questionnaires and data entry (34). This program allows for easy data cleaning and processing.

The data entry program checked for inconsistencies and validated the entries in each field by checking for valid response categories and range checks. For example, the program didn’t accept an age greater than 120. For almost all of the variables there existed a range or a list of possible values that the program checked for.

In addition, the data was entered twice to capture other data entry errors. The data entry program was able to warn the user whenever a value that did not match the first entry was entered at the second data entry. In this case the program asked the user to resolve the conflict by choosing either the 1st or the 2nd data entry value to be able to continue. After the second data entry was completed successfully, the data entry program placed a mark in the database in order to enable the checking of whether this process had been completed for each and every case.

Data Transfer The data entry program was capable of exporting the data that was entered into one compressed database file which could be easily sent to WHO using email attachments or a file transfer program onto a secure server no matter how many cases were in the file. The sites were allowed the use of as many computers and as many data entry personnel as they wanted. Each computer used for this purpose produced one file and they were merged once they were delivered to WHO with the help of other programs that were built for automating the process. The sites sent the data periodically as they collected it enabling the checking procedures and preliminary analyses in the early stages of the data collection.

Data quality checks Once the data was received it was analyzed for missing information, invalid responses and representativeness. Inconsistencies were also noted and reported back to sites.

Data Cleaning and Feedback After receipt of cleaned data from sites, another program was run to check for missing information, incorrect information (e.g. wrong use of center codes), duplicated data, etc. The output of this program was fed back to sites regularly. Mainly, this consisted of cases with duplicate IDs, duplicate cases (where the data for two respondents with different IDs were identical), wrong country codes, missing age, sex, education and some other important variables.

Number of Immigrants: San Luis Potosi data was reported at 18.602 Person th in 2015. This records a decrease from the previous number of 34.738 Person th for 2010. Number of Immigrants: San Luis Potosi data is updated yearly, averaging 11.947 Person th from Dec 1975 (Median) to 2015, with 9 observations. The data reached an all-time high of 34.738 Person th in 2010 and a record low of 2.999 Person th in 1975. Number of Immigrants: San Luis Potosi data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G008: Number of Immigrants.

The environmental variability at local scale results in different physiognomic types of mangrove forest. However, this variability has never been considered in studies of mangrove genetic variability. This study analyzed the genetic and morphological variability and structure of Rhizophora mangle at regional and local scales in the Yucatan Peninsula. Thirteen mangrove populations (eight scrub and five tall), located in seven sites, were sampled, and their morphological variability and relationship with the availability of phosphorus and salinity were analyzed. The diversity and genetic structure were estimated at different hierarchical levels with nine microsatellites, also Bayesian inference and Principal Coordinates Analysis were used. We found a great morphological variability of R. mangle that responded to local environmental variability and not to the precipitation gradient of the peninsula. The genetic diversity found in the peninsula was greater than that reported for other populations in Mexico and was grouped into two regions: the Gulf of Mexico and the Caribbean Sea. At a local scale, tall and scrub mangroves had significant genetic differentiation suggesting that ecological barriers promote genetic differentiation within sites. These results need to be considered in future population genetic studies and for mangrove management and conservation.

Mexico Life Expectancy at Birth: San Luis Potosi data was reported at 74.675 Year in 2018. This records an increase from the previous number of 74.550 Year for 2017. Mexico Life Expectancy at Birth: San Luis Potosi data is updated yearly, averaging 71.880 Year from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 75.275 Year in 2006 and a record low of 59.555 Year in 1970. Mexico Life Expectancy at Birth: San Luis Potosi data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G006: Life Expectancy at Birth: by State.

人口：女性：圣路易斯波托西在12-01-2018达1,440.223千人，相较于12-01-2017的1,428.935千人有所增长。人口：女性：圣路易斯波托西数据按年更新，12-01-1970至12-01-2018期间平均值为1,100.364千人，共49份观测结果。该数据的历史最高值出现于12-01-2018，达1,440.223千人，而历史最低值则出现于12-01-1970，为658.553千人。CEIC提供的人口：女性：圣路易斯波托西数据处于定期更新的状态，数据来源于Consejo Nacional de Poblacion，数据归类于全球数据库的墨西哥 – 表 MX.G002：人口：按州划分。

Mexico Life Expectancy at Birth: Female: San Luis Potosi data was reported at 77.300 Year in 2018. This records an increase from the previous number of 77.160 Year for 2017. Mexico Life Expectancy at Birth: Female: San Luis Potosi data is updated yearly, averaging 74.290 Year from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 77.830 Year in 2006 and a record low of 62.130 Year in 1973. Mexico Life Expectancy at Birth: Female: San Luis Potosi data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G006: Life Expectancy at Birth: by State.