Migration in Pantano Grande/RS (2017–2022)

Pantano Grande/RS had a reference population (aged 5 or over in 2022) of 9,600 people. In the 2017–2022 five-year period, the municipality received 260 in-migrants and lost 665 out-migrants to other municipalities in Brazil, resulting in a net migration of −405 people (−42.22 per 1,000 population) and a migration effectiveness index (IEM) of −0.437. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Pantano Grande/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	260	159 to 361	use with caution
Out-migrants	665	438 to 892	use with caution
Net migration	−405	−654 to −156	not classified
Net migration rate, TLM (per 1,000 pop.)	−42.22	-	-
Migration effectiveness index (IEM)	−0.437	-	-

Sample of in-migrants: 50-99 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 Pantano Grande/RS
Origin	People	Precision
Cachoeira do Sul/RS · view pair in the atlas	50	low precision
Rio Pardo/RS · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Pantano Grande/RS
Destination	People	Precision
Santa Cruz do Sul/RS · view pair in the atlas	160	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	155	58.5%	20-49
First move from municipality of birth	85	32.1%	5-19
Return to municipality of birth	25	9.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	60	37.5%	5-19
Completed high school, incomplete higher education	45	28.1%	5-19
Completed elementary, incomplete high school	30	18.8%	5-19
Completed higher education	25	15.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	100	38.5%	20-49
1 to 2 minimum wages	60	23.1%	5-19
¼ to ½ minimum wage	50	19.2%	5-19
More than 2 minimum wages	35	13.5%	5-19
Other / suppressed	15	5.8%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	75	29.4%	5-19
Ages 5–14, female	45	17.6%	5-19
Ages 40–59, female	40	15.7%	5-19
Ages 25–39, female	40	15.7%	5-19
Ages 25–39, male	30	11.8%	5-19
Ages 15–24, female	25	9.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	450	67.2%	50-99
First move from municipality of birth	155	23.1%	5-19
Return to municipality of birth	65	9.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	205	48.2%	20-49
Completed high school, incomplete higher education	110	25.9%	5-19
Completed elementary, incomplete high school	60	14.1%	5-19
Completed higher education	50	11.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	245	36.8%	20-49
1 to 2 minimum wages	190	28.6%	20-49
¼ to ½ minimum wage	75	11.3%	5-19
More than 2 minimum wages	65	9.8%	5-19
Up to ¼ of a minimum wage	60	9.0%	5-19
Other / suppressed	30	4.5%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	105	15.6%	5-19
Ages 25–39, male	100	14.8%	5-19
Ages 15–24, female	85	12.6%	5-19
Ages 15–24, male	75	11.1%	5-19
Ages 60 and over, female	70	10.4%	5-19
Ages 5–14, male	65	9.6%	5-19
Ages 40–59, female	60	8.9%	5-19
Ages 40–59, male	50	7.4%	5-19
Ages 60 and over, male	50	7.4%	5-19
Other / suppressed	15	2.2%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,470	51.6%	>=500
Completed high school, incomplete higher education	1,435	21.3%	100-499
Completed elementary, incomplete high school	1,175	17.5%	100-499
Completed higher education	645	9.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,610	36.3%	>=500
1 to 2 minimum wages	2,345	23.6%	100-499
¼ to ½ minimum wage	1,945	19.5%	100-499
More than 2 minimum wages	1,295	13.0%	100-499
Up to ¼ of a minimum wage	740	7.4%	100-499
Other / suppressed	20	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,335	14.3%	100-499
Ages 40–59, male	1,330	14.2%	100-499
Ages 60 and over, female	1,070	11.5%	100-499
Ages 25–39, female	1,020	10.9%	100-499
Ages 60 and over, male	1,005	10.8%	100-499
Ages 25–39, male	970	10.4%	100-499
Ages 15–24, male	705	7.5%	100-499
Ages 15–24, female	670	7.2%	100-499
Ages 5–14, male	635	6.8%	100-499
Ages 5–14, female	600	6.4%	100-499

Commuting (work and study)

Commuting indicators for Pantano Grande/RS
Employed persons (aged 10 and over)	4,345
Commute out to work in another municipality	300
Commute in from another municipality to work here	400
Net commuting	+100
Out-commuting rate (%)	6.89
Commuting attraction index	1.007
Median commuting time	60 min

Open Pantano Grande/RS 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]: Pantano Grande/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pantano-grande-rs-4313953/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.