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

Migration in Sete Quedas/MS (2017–2022)

Sete Quedas/MS had a reference population (aged 5 or over in 2022) of 10,185 people. In the 2017–2022 five-year period, the municipality received 680 in-migrants and lost 1,075 out-migrants to other municipalities in Brazil, resulting in a net migration of −395 people (−38.61 per 1,000 population) and a migration effectiveness index (IEM) of −0.224. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 255 came from abroad.

Indicators

Migration indicators for Sete Quedas/MS, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants680456 to 904use with caution
Out-migrants1,075792 to 1,358good
Net migration−395−756 to −34not classified
Net migration rate, TLM (per 1,000 pop.)−38.61--
Migration effectiveness index (IEM)−0.224--

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 Sete Quedas/MS
OriginPeoplePrecision
Tacuru/MS · view pair in the atlas80low precision
Campo Grande/MS · view pair in the atlas65low precision
Naviraí/MS · view pair in the atlas30low precision
Itaquiraí/MS · view pair in the atlas30low precision
Paranhos/MS · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Sete Quedas/MS
DestinationPeoplePrecision
Tacuru/MS · view pair in the atlas110low precision
Campo Grande/MS · view pair in the atlas100low precision
Dourados/MS · view pair in the atlas85low precision
Paranhos/MS · view pair in the atlas40low precision
Eldorado/MS · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration34049.6%50-99
First move from municipality of birth22532.8%20-49
Return to municipality of birth11016.1%20-49
Other / suppressed101.5%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary21551.8%20-49
Completed high school, incomplete higher education10024.1%5-19
Completed higher education5513.3%5-19
Completed elementary, incomplete high school4510.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage20029.4%20-49
1 to 2 minimum wages13519.9%20-49
More than 2 minimum wages13019.1%20-49
¼ to ½ minimum wage11516.9%20-49
Up to ¼ of a minimum wage9514.0%20-49
Other / suppressed50.7%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female14020.7%20-49
Ages 25–39, male11016.3%20-49
Ages 5–14, female7511.1%5-19
Ages 5–14, male7511.1%5-19
Ages 40–59, male659.6%5-19
Ages 15–24, female608.9%5-19
Ages 15–24, male558.1%5-19
Ages 40–59, female405.9%5-19
Ages 60 and over, male355.2%5-19
Ages 60 and over, female203.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration48545.1%50-99
First move from municipality of birth47043.7%50-99
Return to municipality of birth1009.3%5-19
Other / suppressed201.9%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary32552.0%20-49
Completed high school, incomplete higher education14022.4%20-49
Completed elementary, incomplete high school9014.4%5-19
Completed higher education7011.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage34532.1%50-99
1 to 2 minimum wages32029.8%20-49
¼ to ½ minimum wage14013.0%20-49
More than 2 minimum wages13512.6%5-19
Up to ¼ of a minimum wage12511.6%5-19
Other / suppressed100.9%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, male17015.9%20-49
Ages 15–24, female15014.0%5-19
Ages 25–39, male12511.7%5-19
Ages 40–59, female12011.2%5-19
Ages 25–39, female11010.3%20-49
Ages 40–59, male1059.8%5-19
Ages 60 and over, female908.4%5-19
Ages 60 and over, male757.0%5-19
Ages 5–14, male656.1%5-19
Ages 5–14, female605.6%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,80058.7%>=500
Completed high school, incomplete higher education96014.8%100-499
Completed elementary, incomplete high school95014.7%100-499
Completed higher education76011.7%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,54535.3%>=500
¼ to ½ minimum wage2,08520.8%100-499
1 to 2 minimum wages2,02520.2%100-499
Up to ¼ of a minimum wage1,22512.2%100-499
More than 2 minimum wages1,14511.4%100-499
Other / suppressed200.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,38515.0%100-499
Ages 40–59, male1,30014.1%100-499
Ages 25–39, female1,09011.8%100-499
Ages 25–39, male1,03511.2%100-499
Ages 60 and over, female8509.2%100-499
Ages 60 and over, male8008.7%100-499
Ages 15–24, male7257.9%100-499
Ages 5–14, male7157.7%100-499
Ages 5–14, female6607.2%100-499
Ages 15–24, female6406.9%100-499
Other / suppressed300.3%5-19

Commuting (work and study)

Commuting indicators for Sete Quedas/MS
Employed persons (aged 10 and over)4,620
Commute out to work in another municipality90
Commute in from another municipality to work here90
Net commuting0
Out-commuting rate (%)1.94
Commuting attraction index0.935
Median commuting time40 min

Open Sete Quedas/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]: Sete Quedas/MS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sete-quedas-ms-5007703/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.