Migration in Pinhal Grande/RS (2017–2022)

Pinhal Grande/RS had a reference population (aged 5 or over in 2022) of 3,655 people. In the 2017–2022 five-year period, the municipality received 105 in-migrants and lost 370 out-migrants to other municipalities in Brazil, resulting in a net migration of −265 people (−72.91 per 1,000 population) and a migration effectiveness index (IEM) of −0.560. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Pinhal Grande/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	105	62 to 148	use with caution
Out-migrants	370	240 to 500	use with caution
Net migration	−265	−402 to −128	not classified
Net migration rate, TLM (per 1,000 pop.)	−72.91	-	-
Migration effectiveness index (IEM)	−0.560	-	-

Sample of in-migrants: 20-49 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 Pinhal Grande/RS
Origin	People	Precision
Nova Palma/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Pinhal Grande/RS
Destination	People	Precision
Júlio de Castilhos/RS · view pair in the atlas	65	low precision
Santa Maria/RS · view pair in the atlas	55	low precision
Nova Palma/RS · view pair in the atlas	30	low precision
Faxinal do Soturno/RS · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	50	50.0%	5-19
First move from municipality of birth	35	35.0%	5-19
Return to municipality of birth	15	15.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	25	33.3%	5-19
No schooling or incomplete elementary	20	26.7%	5-19
Completed elementary, incomplete high school	20	26.7%	5-19
Other / suppressed	10	13.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	40	36.4%	5-19
½ to 1 minimum wage	25	22.7%	5-19
More than 2 minimum wages	20	18.2%	5-19
1 to 2 minimum wages	15	13.6%	5-19
Other / suppressed	10	9.1%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	35	33.3%	5-19
Ages 25–39, female	20	19.0%	5-19
Ages 25–39, male	20	19.0%	5-19
Ages 5–14, male	15	14.3%	5-19
Ages 60 and over, female	15	14.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	190	51.4%	20-49
First move from municipality of birth	140	37.8%	20-49
Return to municipality of birth	40	10.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	32.6%	5-19
No schooling or incomplete elementary	70	32.6%	5-19
Completed higher education	45	20.9%	5-19
Completed elementary, incomplete high school	30	14.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	125	33.8%	5-19
More than 2 minimum wages	95	25.7%	5-19
½ to 1 minimum wage	90	24.3%	20-49
Up to ¼ of a minimum wage	25	6.8%	5-19
Other / suppressed	20	5.4%	<5
¼ to ½ minimum wage	15	4.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	60	16.4%	5-19
Ages 40–59, female	50	13.7%	5-19
Ages 15–24, female	50	13.7%	5-19
Ages 60 and over, male	45	12.3%	5-19
Ages 25–39, female	35	9.6%	5-19
Ages 25–39, male	30	8.2%	5-19
Ages 60 and over, female	30	8.2%	5-19
Ages 5–14, male	25	6.8%	5-19
Ages 40–59, male	25	6.8%	5-19
Other / suppressed	15	4.1%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,635	60.1%	>=500
Completed high school, incomplete higher education	540	19.9%	100-499
Completed higher education	285	10.5%	50-99
Completed elementary, incomplete high school	260	9.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,100	29.7%	100-499
½ to 1 minimum wage	1,030	27.8%	100-499
More than 2 minimum wages	860	23.2%	100-499
¼ to ½ minimum wage	440	11.9%	100-499
Up to ¼ of a minimum wage	270	7.3%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	580	16.4%	100-499
Ages 40–59, female	525	14.8%	100-499
Ages 60 and over, male	505	14.3%	100-499
Ages 60 and over, female	465	13.1%	100-499
Ages 25–39, female	320	9.0%	100-499
Ages 25–39, male	320	9.0%	100-499
Ages 15–24, male	235	6.6%	50-99
Ages 5–14, female	200	5.6%	50-99
Ages 15–24, female	200	5.6%	50-99
Ages 5–14, male	190	5.4%	50-99

Commuting (work and study)

Commuting indicators for Pinhal Grande/RS
Employed persons (aged 10 and over)	1,865
Commute out to work in another municipality	60
Commute in from another municipality to work here	90
Net commuting	+30
Out-commuting rate (%)	3.33
Commuting attraction index	1.008
Median commuting time	38 min

Open Pinhal 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]: Pinhal Grande/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pinhal-grande-rs-4314472/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.