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

Migration in Terenos/MS (2017–2022)

Terenos/MS had a reference population (aged 5 or over in 2022) of 16,505 people. In the 2017–2022 five-year period, the municipality received 1,765 in-migrants and lost 1,130 out-migrants to other municipalities in Brazil, resulting in a net migration of +635 people (38.48 per 1,000 population) and a migration effectiveness index (IEM) of 0.219. This classifies the municipality, for the period, as one of migratory attraction. In addition, 25 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Terenos/MS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,7651,331 to 2,199good
Out-migrants1,130771 to 1,489use with caution
Net migration+63572 to 1,198not classified
Net migration rate, TLM (per 1,000 pop.)38.48--
Migration effectiveness index (IEM)0.219--

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 Terenos/MS
OriginPeoplePrecision
Campo Grande/MS · view pair in the atlas885use with caution
São Gabriel do Oeste/MS · view pair in the atlas55low precision
Top 10 destinations of out-migrants from Terenos/MS
DestinationPeoplePrecision
Campo Grande/MS · view pair in the atlas570use with caution
Aquidauana/MS · view pair in the atlas60low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration91551.7%50-99
First move from municipality of birth76042.9%50-99
Return to municipality of birth955.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary64049.4%50-99
Completed high school, incomplete higher education34526.6%20-49
Completed elementary, incomplete high school20015.4%5-19
Completed higher education1108.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage58032.9%50-99
¼ to ½ minimum wage55031.2%20-49
1 to 2 minimum wages38021.5%20-49
More than 2 minimum wages1508.5%5-19
Up to ¼ of a minimum wage854.8%5-19
Other / suppressed201.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male41523.5%20-49
Ages 40–59, female23013.0%20-49
Ages 25–39, female19010.8%5-19
Ages 60 and over, male1659.3%5-19
Ages 25–39, male1659.3%5-19
Ages 5–14, male1458.2%5-19
Ages 60 and over, female1357.6%5-19
Ages 15–24, female1307.4%5-19
Ages 15–24, male1257.1%5-19
Ages 5–14, female653.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration56049.6%50-99
Return to municipality of birth43038.1%20-49
First move from municipality of birth13011.5%5-19
Other / suppressed100.9%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary31552.1%20-49
Completed high school, incomplete higher education12019.8%5-19
Completed higher education11519.0%5-19
Completed elementary, incomplete high school559.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage48542.9%20-49
1 to 2 minimum wages33529.6%20-49
More than 2 minimum wages14512.8%5-19
Up to ¼ of a minimum wage11510.2%5-19
¼ to ½ minimum wage504.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female19016.7%5-19
Ages 5–14, female18516.3%5-19
Ages 15–24, female15013.2%5-19
Ages 15–24, male14012.3%5-19
Ages 25–39, male1059.3%5-19
Ages 40–59, male1008.8%5-19
Ages 60 and over, male907.9%5-19
Ages 40–59, female907.9%5-19
Ages 5–14, male554.8%5-19
Other / suppressed302.6%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5,54553.8%>=500
Completed high school, incomplete higher education2,23521.7%100-499
Completed elementary, incomplete high school1,43013.9%100-499
Completed higher education1,09010.6%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,31033.5%>=500
1 to 2 minimum wages4,08525.8%100-499
¼ to ½ minimum wage3,08019.4%100-499
More than 2 minimum wages1,74011.0%100-499
Up to ¼ of a minimum wage1,5759.9%100-499
Not applicable (collective dwelling)700.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male2,19514.9%100-499
Ages 40–59, female2,06014.0%100-499
Ages 25–39, female1,57010.7%100-499
Ages 60 and over, male1,55010.5%100-499
Ages 25–39, male1,53010.4%100-499
Ages 60 and over, female1,3909.4%100-499
Ages 5–14, male1,1808.0%100-499
Ages 5–14, female1,1607.9%100-499
Ages 15–24, male1,0607.2%50-99
Ages 15–24, female1,0156.9%50-99

Commuting (work and study)

Commuting indicators for Terenos/MS
Employed persons (aged 10 and over)7,200
Commute out to work in another municipality605
Commute in from another municipality to work here570
Net commuting−30
Out-commuting rate (%)8.39
Commuting attraction index0.908
Median commuting time40 min

Open Terenos/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]: Terenos/MS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/terenos-ms-5008008/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.