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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Vicentina/MS (2017–2022)

Vicentina/MS had a reference population (aged 5 or over in 2022) of 5,945 people. In the 2017–2022 five-year period, the municipality received 610 in-migrants and lost 605 out-migrants to other municipalities in Brazil, resulting in a net migration of +5 people (0.75 per 1,000 population) and a migration effectiveness index (IEM) of 0.004. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Vicentina/MS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants610492 to 728good
Out-migrants605424 to 786use with caution
Net migration+5−211 to 221not classified
Net migration rate, TLM (per 1,000 pop.)0.75--
Migration effectiveness index (IEM)0.004--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Vicentina/MS
OriginPeoplePrecision
Dourados/MS · view pair in the atlas150use with caution
Fátima do Sul/MS · view pair in the atlas80use with caution
Campo Grande/MS · view pair in the atlas35low precision
Jateí/MS · view pair in the atlas25low precision
Glória de Dourados/MS · view pair in the atlas20low precision
São Paulo/SP · view pair in the atlas20low precision
Ponta Porã/MS · view pair in the atlas15low precision
Deodápolis/MS · view pair in the atlas15low precision
Caarapó/MS · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Vicentina/MS
DestinationPeoplePrecision
Fátima do Sul/MS · view pair in the atlas230use with caution
Dourados/MS · view pair in the atlas105low precision
Glória de Dourados/MS · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration30049.2%100-499
First move from municipality of birth26042.6%50-99
Return to municipality of birth508.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary16039.5%50-99
Completed high school, incomplete higher education13533.3%20-49
Completed higher education6014.8%20-49
Completed elementary, incomplete high school5012.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21535.5%50-99
1 to 2 minimum wages16026.4%50-99
¼ to ½ minimum wage11519.0%20-49
More than 2 minimum wages8013.2%20-49
Up to ¼ of a minimum wage305.0%5-19
Other / suppressed50.8%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female9515.7%20-49
Ages 25–39, male7512.4%20-49
Ages 25–39, female7512.4%20-49
Ages 40–59, male7011.6%20-49
Ages 15–24, female559.1%20-49
Ages 15–24, male559.1%20-49
Ages 5–14, male508.3%5-19
Ages 60 and over, male508.3%5-19
Ages 5–14, female406.6%5-19
Ages 60 and over, female406.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration32053.3%50-99
First move from municipality of birth14524.2%20-49
Return to municipality of birth13522.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10028.2%20-49
Completed high school, incomplete higher education10028.2%5-19
Completed higher education9526.8%5-19
Completed elementary, incomplete high school6016.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage19031.4%20-49
More than 2 minimum wages16527.3%20-49
1 to 2 minimum wages15525.6%20-49
¼ to ½ minimum wage8013.2%5-19
Other / suppressed152.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female11519.0%20-49
Ages 15–24, female9014.9%5-19
Ages 25–39, male8013.2%5-19
Ages 15–24, male8013.2%5-19
Ages 40–59, female7011.6%5-19
Ages 5–14, male559.1%5-19
Ages 40–59, male508.3%5-19
Other / suppressed457.4%5-19
Ages 5–14, female203.3%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,90048.2%>=500
Completed high school, incomplete higher education1,05526.8%100-499
Completed higher education53013.5%100-499
Completed elementary, incomplete high school45511.5%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage2,17038.0%>=500
1 to 2 minimum wages1,74030.5%>=500
¼ to ½ minimum wage97017.0%100-499
More than 2 minimum wages59510.4%100-499
Up to ¼ of a minimum wage2253.9%50-99
Other / suppressed100.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female84015.8%100-499
Ages 40–59, male81015.2%100-499
Ages 60 and over, female64512.1%100-499
Ages 60 and over, male62511.8%100-499
Ages 25–39, female5109.6%100-499
Ages 25–39, male5109.6%100-499
Ages 15–24, female3707.0%100-499
Ages 15–24, male3556.7%100-499
Ages 5–14, male3456.5%100-499
Ages 5–14, female3055.7%100-499

Commuting (work and study)

Commuting indicators for Vicentina/MS
Employed persons (aged 10 and over)2,710
Commute out to work in another municipality320
Commute in from another municipality to work here425
Net commuting+105
Out-commuting rate (%)11.73
Commuting attraction index0.956
Median commuting time40 min

Open Vicentina/MS in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Vicentina/MS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/vicentina-ms-5008404/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.