Abstract

The 2010 Saint Lucia Population and Housing Census is conducted by the Central Statistical Office staff. The island-nation of Saint Lucia recorded an overall household population increase of 5 percent from May 2001 to May 2010 based on estimates derived from a complete enumeration of the population of Saint Lucia during the conduct of the recently completed 2010 Population and Housing Census. Saint Lucia's total resident population as at midnight on Census Day, the 10th May 2010 stood at 166,526 persons. Saint Lucia's total population including non-resident persons was estimated to be 173,720, the total number of non-resident persons was 7,194. The preliminary count of Saint Lucia's enumerated population was 151,864 persons reflecting a response rate to the census of 92%. The total resident population of St. Lucia is comprised of 82,926 males and 83,600 females. Out of this sum, there were 165,595 individuals residing in private households, 931 persons living in institutions.

A modern population and housing census is the process of collecting, compiling, analyzing, and publishing demographic, socio-economic, and environmental data pertaining to all persons in a country and the national housing stock at a specified time. A census is a form of national stocktaking. Since the census is a complete count of the population and living quarters, it provides detailed benchmark data on the size of the population, age structure, educational attainment, economic activity, disability, housing, and household amenities as well as other major socio-economic characteristics.

Geographic coverage

National Coverage includes all Administrative Districts and Political Constituencies

Analysis unit

• Households,
• Individuals.

Universe

The Census covered all de jure household members (usual residents of St Lucia based on the six month criteria). The fertility of all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household. The Census also collected data on dwelling and housing conditions of all resident householders. In the Census Visitation record all de jure household members were counted by sex, in addition, persons present in St Lucia at the time of the census who were not usual residents were also counted to produce the de facto population of St Lucia on census day May 10, 2010.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires were bound together into booklets. Each booklet contained a cover page (for identification and the Record of Visits), page 2 for Listing the names of the members of the Household and for any comments needed concerning any member of the household or any part of the enumeration. NATIONAL ARCHIVES, INTERNATIONAL MIGRATION and HOUSING spread over pages 3 to 5.

After these sections, three individual questionnaires (6 pages each) complete the booklet. These booklets provide for three (3) persons and are to be used for households consisting of three (3) or fewer persons. If the household comprises more than three persons, the main booklet plus the number of additional person questionnaires were required. For example,

For a 1, 2, 3-person household, use one booklet;

For a 4-person household, use one booklet plus one additional person questionnaire.

For a 5-person household, use one booklet plus two additional person questionnaires and so on.

The ED Number and the Household number contained on the front cover page of the main questionnaire was transferred to the top of the front page of EVERY person questionnaire whether or not it was an individual questionnaire within the main booklet or whether it was an individual questionnaire applicable to a household with more than three persons.

STRUCTURE OF THE INDIVIDUAL QUESTIONNAIRE

The individual questionnaire starts at Section 3. The questions are divided into eleven groups, each having a central theme and given a section number as follows:

Section 3: Personal Characteristics (for all persons) Section 4: Birthplace & Residence (for all persons) Section 5: Disability (for all persons) Section 6: Health (for all persons) Section 7: Education and Internet Access (for all persons) Section 8: Professional, Technical & Vocational Training (for persons 15 years and over) Section 9: Economic Activity (for persons 15 years and over) Section 10: Income and Livelihood (for females 15 years and over) Section 11: Marital Status and Union Status (for persons 15 years and over) Section 12: Fertility (for persons 15 years and over) Section 13: Where Spent Census Night (for all persons)

Cleaning operations

Data editing took place at a number of stages throughout the processing, including (See External Resource for more information on this item):

a) Field Editing by interviewers and field supervisors The guidelines for the conduct of these edits were laid out in PART IX: Checking Your Questionnaires for Errors in the Enumerators Manual. These instructions are repeated in the supervisors manual and also stated in the contract for payment of enumerators and supervisors. A number of elements of the edits outlined formed the basis for the payment of enumerators and supervisors.

b) Office editing and questionnaire re-numbering When a full set of questionnaires from a completed ED was recieved by the office, persons assigned as census evaluators had the responsibility to review the content of each Questionnaire to check for completeness. They were required to perform checks on the questionnaires and the visitation records for the key geographic variables and perform other checks in line with the requirements of a Census Evaluation form which laid out quality standards for the approval of a completed ED for payment. The Census evaluation form is provided as an external resource for information.

c) Data Capture, Editing and Coding during scanning and data verification The data was captured using TELEform V10.4.1 and the data from the forms was exported to a SQL Server 2005 database as was all other census related information captured on forms, such as the census 2010 Evaluation form, referred to previously, the census visitation record etc.

The names of the SQL Server Databases are as follows: 1) Census2010 containing Tables: Census2010Persons, Census2010House, Census2010Visit, Census2010Evaluation, Census2010ApplicationForms, CensusTestScores, Census2010Institutions 2) Census2010_Validated contained data which was validated on several metrics outline in a VBA program built into the TELEform v10.4 software used to capture the data after scanning.

The correction of geographic variables was completed during this process. The scanner operator would manually enter the ED code for the batch being scanned, he would also enter the first and last household for the batch manually. Later the verifier would independantly verify the ED and the household number entered by the enumerator against the values entered by the scanner operator to ensure that they were either the same as in the case of the ED number or within the range of households expected in the batch as in the case of the household number. This was done using VBA validation code written within the TELEform 10.4.1 software used for the scanning and capture of the data from the Census.

Computer Assisted Coding was built into the TELEform template, this method assisted the enumerator using keywords to identify the code for the entry of the appropriate settlement, industry or occupation code. A listing of the codes used is attached to this document as an external resource. Occupation codes are in the international format of ISCO-08 while the industry code applied is based on ISIC Rev4.

d) Structure checking and completeness in Foxpro

The data was exported to MS Access and then on to MS Foxpro where some basic editing was done.

1) This involved the conversion of descriptions of settlement, ISCO and ISIC data collected in fields to codes 2) Standardizing the lenghts and format of all fields in the dataset in preparation for conversion to CSPRO ASCII data format 3) Transposing data on Migration, deaths, disability and births in the last 12 months to variables in the household and person files 4) Removal of blank and very incomplete records 5) Removal of all duplicates and the cleaning of all inconsistent records between the household and the person file. 6) Creation of CSPRO 4.0 compatible format data file for use in further editing and cleaning

e) Detailed variable level editing using CSPRO 4.0 and hotdecking Detailed programs were developed to clean census data on critical variables in the housing section of the questionnaire such as Type of Dwelling, household assets etc, demographic variables such as age, sex, education and economic activiity variables were cleaned in the first version of the CSPRO 4.0 *.bch program file developed. After the first version of the cleaning program was complete the Statistical Office published the Preliminary Census 2010 Report (Updated April 2010). The first version of this publication released in January contained only data on population counts from the census visitation records. The updated April 2010 Preliminary Census report contained information on all the main variables cleaned in the first version of the cleaning program. The CSPRO 4.0 program employed the use of many 3-dimensional hotdecking programs to correct for items not stated or recorded.

f) Checking of data files using the Tabulation Features of CSPRO 4.0 and SPSS 19 Crosstabulations of variables were used to identify inconsistent data and improve CSPRO 4.0 editing programs

Detailed documentation of

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Saint Lucia LC: Birth Rate: Crude: per 1000 People data was reported at 12.108 Ratio in 2016. This records a decrease from the previous number of 12.239 Ratio for 2015. Saint Lucia LC: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 29.773 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 48.900 Ratio in 1960 and a record low of 12.108 Ratio in 2016. Saint Lucia LC: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Geographic coverage

National

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Graph and download economic data for Value of Exports to Saint Lucia from Utah (UTLCAA052SCEN) from 2007 to 2016 about St. Lucia, UT, and exports.

Saint Lucia LC: Life Expectancy at Birth: Total data was reported at 75.496 Year in 2016. This records an increase from the previous number of 75.300 Year for 2015. Saint Lucia LC: Life Expectancy at Birth: Total data is updated yearly, averaging 70.900 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 75.496 Year in 2016 and a record low of 57.329 Year in 1960. Saint Lucia LC: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Graph and download economic data for Value of Exports to Saint Lucia from New Hampshire (NHLCAA052SCEN) from 2002 to 2016 about St. Lucia, NH, and exports.

Saint Lucia LC: Completeness of Birth Registration: Male data was reported at 91.400 % in 2012. Saint Lucia LC: Completeness of Birth Registration: Male data is updated yearly, averaging 91.400 % from Dec 2012 (Median) to 2012, with 1 observations. Saint Lucia LC: Completeness of Birth Registration: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank.WDI: Population and Urbanization Statistics. Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.; ; UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.; ;

Saint Lucia LC: Death Rate: Crude: per 1000 People data was reported at 7.506 Ratio in 2016. This records an increase from the previous number of 7.472 Ratio for 2015. Saint Lucia LC: Death Rate: Crude: per 1000 People data is updated yearly, averaging 7.252 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 13.574 Ratio in 1960 and a record low of 5.924 Ratio in 1986. Saint Lucia LC: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Graph and download economic data for Value of Exports to Saint Lucia from Missouri (MOLCAA052SCEN) from 1992 to 2016 about St. Lucia, MO, and exports.

Saint Lucia LC: Completeness of Birth Registration: Female data was reported at 92.500 % in 2012. Saint Lucia LC: Completeness of Birth Registration: Female data is updated yearly, averaging 92.500 % from Dec 2012 (Median) to 2012, with 1 observations. Saint Lucia LC: Completeness of Birth Registration: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank.WDI: Population and Urbanization Statistics. Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.; ; UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.; ;

Saint Lucia: The number of crude births per 1000 people, per year: The latest value from 2022 is 11.32 births per 1000 people, a decline from 11.49 births per 1000 people in 2021. In comparison, the world average is 18.38 births per 1000 people, based on data from 195 countries. Historically, the average for Saint Lucia from 1960 to 2022 is 26.72 births per 1000 people. The minimum value, 11.32 births per 1000 people, was reached in 2022 while the maximum of 48.08 births per 1000 people was recorded in 1960.

Birth rate, crude (per 1,000 people) in St Lucia was reported at 11.26 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. St Lucia - Birth rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Historical dataset showing St. Lucia birth rate by year from 1960 to 2023.

Abstract

The Saint Lucia Multiple Indicator Cluster Survey (MICS) is a nationally representative household survey developed under the guidance of the United Nations Children's Fund (UNICEF) to provide internationally comparable and up-to-date information on the country's children and women. The survey measure key indicators used to monitor progress towards the Millennium Development Goals (MDGs) and will assist in policy decisions and government interventions.

The Saint Lucia MICS was conducted in 2012 as part of the fourth global round of MICS (MICS4), with the implementing agencies within the Government of Saint Lucia being the Ministry of Social Transformation, Local Government and Community Empowerment (MoST) and the Central Statistics Office (CSO) in collaboration with the Ministry of Health, Wellness, Human Services and Gender Relations (MoH), Ministry of Education, Human Resource Development and Labour (MoE) and other government departments as well as non-government agencies.

The Saint Lucia MICS was conducted using a sample of 2,000 households from both rural and urban areas in all the country's districts. Information was collected from 1,718 households about 1,253 women aged 15-49 years and 291 children under the age of 5 living in the households. A set of three questionnaires - a household questionnaire, a questionnaire for women aged 15-49years and a questionnaire for children under 5 - was used to conduct face-to-face interviews, and each yielded response rates of over 90 percent.

Geographic coverage

National

Analysis unit

• individuals
• households

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design for the Saint Lucia Multiple Indicator Cluster Survey (MICS) was to produce statistically reliable estimates of most indicators both at the national level and for urban and rural areas.

There are 10 geographic districts in Saint Lucia. Five of these districts contain less than 3,000 households: Canaries (786 households), Anse la Raye (2,162 households), Soufriere (2,875 households), Choiseul (2,069 households) and Laborie (2,180 households). Due to the small size of so many districts it is not realistic to provide estimates at the district level. There is no obvious grouping of districts into a smaller sub-set of three or four regions, which would have made sampling more manageable. Thus urban and rural population were selected as the sampling strata for the purpose of the MICS.

The 2010 Population and Household Census is used as the sample frame for the Saint Lucia MICS and census EDs are defined as the primary sampling units (PSUs)/ clusters. These were selected from each of the sampling strata by using systematic pps (probability proportional to size) sampling procedures based on the estimated sizes of the enumeration districts (clusters) from the 2010 Census.

There were no obvious sources of data that could provide indicative values of some of the key MICS indicators. The CSO has not conducted any previous surveys of this nature, although the Core Wealth Indicator Questionnaire Survey (CWIQ) conducted in 2004 provided estimates showed almost 100 percent coverage for prenatal care and for professional attendance at delivery.

The average number of households selected per cluster was determined as 20 households based on a number of considerations including the design effect, the budget available and the time that would be needed per team to complete one cluster. Dividing the total number of households (2,000) by the number of sample households per cluster, it was calculated that 100 sample clusters would be selected.

The 2010 Population and Household Census was used as the sample frame for the selection of clusters. Census ED/clusters were defined as primary sampling units (PSUs) and selected from each of the sampling strata by using systematic pps sampling procedures, based on the estimated sizes of the enumeration areas from the 2010 Census.

To select the sample of clusters, EDs/clusters within each stratum were listed in order by district and by ED/cluster number within each district. In cases where larger EDs/clusters had been subdivided previously, these parts were listed next to each other (even if they did not have adjacent ED numbers). EDs/clusters with less than 20 households were combined with the ED/cluster immediately preceding them in the list, and if the small ED/cluster was the first ED/cluster shown in a district it was combined with the next ED/cluster on the list. The first stage of sampling was completed by selecting the required number of EDs/clusters from each stratum (urban and rural).

The sampling procedures are more fully described in "Multiple Indicator Cluster Survey 2012 - Final Report" pp.122-125.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS4 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes household listing form, education, water and sanitation, household characteristics, child labour, child discipline, hand washing and salt iodization.

In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. For children, the questionnaire was administered to the mother or primary caretaker of the child.

The women's questionnaire includes woman's background, access to mass media and use of information and communications technology, child mortality without birth history (abridged module used to calculate births in the last 2 years), desire for last birth, maternal and newborn health, post-natal health checks, contraception, unmet need for contraception, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, alcohol use.

The children's questionnaire includes child's age, birth registration, early childhood development, breastfeeding, care of illness, and anthropometry.

Cleaning operations

Data were entered on four desktop computers using the Census and Survey Processing System (CSPro) software by four data entry operators, one questionnaire administrator, one secondary editor and a data entry supervisor. In order to ensure quality control, all questionnaires were double entered (entered and verified) and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS4 programme and adapted to the Saint Lucia questionnaire were used throughout. Data processing began simultaneously with data collection in April 2012 and was completed in June 2012. Data were analysed using the Statistical Package for Social Sciences (SPSS) software program, Version 18, and the model syntax and tabulation plans developed by UNICEF were used for this purpose.

Response rate

The 2,000 households selected were found to contain 2,009 households. All the households were visited and 1,800 were found to be occupied. Of these, 1,718 households were successfully interviewed, yielding a household response rate of 95 percent. In the interviewed households, 1,341 eligible women (aged 15-49 years) were identified. Of these, 1,253 women were successfully interviewed, yielding a response rate of 93 percent within interviewed households. There were 300 eligible children under age 5 listed in the household questionnaire, and questionnaires were completed for 291 of these children (a response rate of 97 percent). Overall response rates of 89 and 93 percent were calculated for the women's and under-5's interviews respectively. The response rates were similar for both the urban and rural areas, yielding rates of over 90 percent for the household, women and children under 5.

Sampling error estimates

Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly but can be estimated statistically from the survey data.

The following sampling error measures are presented in this appendix for each of the selected indicators: - Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions, etc). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors. - Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator and is a measure of the relative sampling error. - Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates an increase in the standard error due to the use of a more complex sample design. - Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey,

Saint Lucia LC: Life Expectancy at Birth: Female data was reported at 78.239 Year in 2016. This records an increase from the previous number of 78.055 Year for 2015. Saint Lucia LC: Life Expectancy at Birth: Female data is updated yearly, averaging 73.278 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 78.239 Year in 2016 and a record low of 61.031 Year in 1960. Saint Lucia LC: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Graph and download economic data for Value of Exports to Saint Lucia from Illinois (ILLCAA052SCEN) from 1992 to 2016 about St. Lucia, IL, and exports.

Open and free data for assessing the human presence on the planet.

The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources.

The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

United States - Crude Birth Rate for St. Lucia was 11.26200 Births per 1,000 People in January of 2023, according to the United States Federal Reserve. Historically, United States - Crude Birth Rate for St. Lucia reached a record high of 48.98800 in January of 1960 and a record low of 11.26200 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Crude Birth Rate for St. Lucia - last updated from the United States Federal Reserve on July of 2025.

Life expectancy at birth, total (years) in St Lucia was reported at 72.7 years in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. St Lucia - Life expectancy at birth, total (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.