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

Migration in Ouro Verde/SC (2017–2022)

Ouro Verde/SC had a reference population (aged 5 or over in 2022) of 2,025 people. In the 2017–2022 five-year period, the municipality received 310 in-migrants and lost 260 out-migrants to other municipalities in Brazil, resulting in a net migration of +50 people (25.55 per 1,000 population) and a migration effectiveness index (IEM) of 0.091. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Ouro Verde/SC, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants310231 to 389good
Out-migrants260129 to 391use with caution
Net migration+50−103 to 203not classified
Net migration rate, TLM (per 1,000 pop.)25.55--
Migration effectiveness index (IEM)0.091--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Ouro Verde/SC
OriginPeoplePrecision
Abelardo Luz/SC · view pair in the atlas95use with caution
Xanxerê/SC · view pair in the atlas45low precision
Bom Jesus/SC · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Ouro Verde/SC
DestinationPeoplePrecision
Xanxerê/SC · view pair in the atlas95low precision
Abelardo Luz/SC · view pair in the atlas60low precision
Bom Jesus/SC · view pair in the atlas45low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration15550.0%50-99
First move from municipality of birth14546.8%50-99
Return to municipality of birth103.2%5-19
Other / suppressed00.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary9048.6%20-49
Completed high school, incomplete higher education5027.0%20-49
Completed elementary, incomplete high school2513.5%5-19
Completed higher education2010.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage12540.3%50-99
1 to 2 minimum wages6521.0%20-49
Up to ¼ of a minimum wage5517.7%20-49
¼ to ½ minimum wage4012.9%5-19
More than 2 minimum wages258.1%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female6020.0%20-49
Ages 25–39, male5016.7%20-49
Ages 5–14, female3511.7%5-19
Ages 15–24, female3511.7%5-19
Ages 40–59, male3010.0%5-19
Ages 40–59, female3010.0%5-19
Ages 5–14, male258.3%5-19
Ages 15–24, male258.3%5-19
Other / suppressed103.3%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration17065.4%20-49
First move from municipality of birth5019.2%5-19
Return to municipality of birth4015.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary6041.4%5-19
Other / suppressed4531.0%5-19
Completed high school, incomplete higher education4027.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages8532.1%5-19
½ to 1 minimum wage8030.2%5-19
¼ to ½ minimum wage7026.4%5-19
More than 2 minimum wages207.5%5-19
Other / suppressed103.8%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed7528.8%5-19
Ages 25–39, female5521.2%5-19
Ages 25–39, male4015.4%5-19
Ages 5–14, female3513.5%5-19
Ages 5–14, male3513.5%5-19
Ages 15–24, male207.7%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary63048.8%100-499
Completed high school, incomplete higher education31024.0%100-499
Completed elementary, incomplete high school18014.0%50-99
Completed higher education17013.2%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage72538.9%100-499
1 to 2 minimum wages59031.6%100-499
More than 2 minimum wages25513.7%100-499
¼ to ½ minimum wage22512.1%100-499
Up to ¼ of a minimum wage703.8%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, female27015.7%100-499
Ages 40–59, male26515.5%100-499
Ages 60 and over, male20512.0%100-499
Ages 60 and over, female20512.0%100-499
Ages 25–39, male19011.1%50-99
Ages 25–39, female1659.6%50-99
Ages 15–24, male1106.4%50-99
Ages 5–14, male1106.4%50-99
Ages 15–24, female1005.8%20-49
Ages 5–14, female955.5%50-99

Commuting (work and study)

Commuting indicators for Ouro Verde/SC
Employed persons (aged 10 and over)945
Commute out to work in another municipality105
Commute in from another municipality to work here90
Net commuting−15
Out-commuting rate (%)10.98
Commuting attraction index0.982
Median commuting time40 min

This municipality is part of Região Metropolitana do Extremo Oeste → see the metropolitan region page

Open Ouro Verde/SC 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]: Ouro Verde/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ouro-verde-sc-4211850/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.