Migration in Pinhal/RS (2017–2022)

Pinhal/RS had a reference population (aged 5 or over in 2022) of 2,740 people. In the 2017–2022 five-year period, the municipality received 360 in-migrants and lost 505 out-migrants to other municipalities in Brazil, resulting in a net migration of −150 people (−54.17 per 1,000 population) and a migration effectiveness index (IEM) of −0.172. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Pinhal/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	360	272 to 448	good
Out-migrants	505	353 to 657	use with caution
Net migration	−150	−325 to 25	not classified
Net migration rate, TLM (per 1,000 pop.)	−54.17	-	-
Migration effectiveness index (IEM)	−0.172	-	-

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 Pinhal/RS
Origin	People	Precision
Rodeio Bonito/RS · view pair in the atlas	50	low precision
Jaboticaba/RS · view pair in the atlas	35	low precision
Palmeira das Missões/RS · view pair in the atlas	25	low precision
Seberi/RS · view pair in the atlas	15	low precision
Frederico Westphalen/RS · view pair in the atlas	15	low precision
Cristal do Sul/RS · view pair in the atlas	15	low precision
Palmitinho/RS · view pair in the atlas	10	low precision

Top 10 destinations of out-migrants from Pinhal/RS
Destination	People	Precision
Rodeio Bonito/RS · view pair in the atlas	70	use with caution
Cidreira/RS · view pair in the atlas	40	low precision
Tramandaí/RS · view pair in the atlas	30	low precision
Capivari do Sul/RS · view pair in the atlas	25	low precision
Novo Tiradentes/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	185	52.1%	50-99
First move from municipality of birth	115	32.4%	20-49
Return to municipality of birth	55	15.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	90	39.1%	20-49
No schooling or incomplete elementary	70	30.4%	20-49
Completed higher education	45	19.6%	5-19
Completed elementary, incomplete high school	25	10.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	140	39.4%	20-49
1 to 2 minimum wages	95	26.8%	20-49
¼ to ½ minimum wage	60	16.9%	5-19
Up to ¼ of a minimum wage	30	8.5%	5-19
More than 2 minimum wages	30	8.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	75	20.8%	20-49
Ages 25–39, male	70	19.4%	20-49
Ages 15–24, female	45	12.5%	5-19
Ages 15–24, male	35	9.7%	5-19
Ages 40–59, male	30	8.3%	5-19
Ages 5–14, male	30	8.3%	5-19
Ages 60 and over, male	25	6.9%	5-19
Ages 5–14, female	25	6.9%	5-19
Ages 60 and over, female	15	4.2%	5-19
Other / suppressed	10	2.8%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	350	69.3%	50-99
Return to municipality of birth	90	17.8%	20-49
First move from municipality of birth	65	12.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	35.9%	20-49
Completed high school, incomplete higher education	95	29.7%	5-19
Completed elementary, incomplete high school	75	23.4%	5-19
Completed higher education	35	10.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	160	31.7%	20-49
½ to 1 minimum wage	150	29.7%	20-49
¼ to ½ minimum wage	95	18.8%	20-49
More than 2 minimum wages	65	12.9%	5-19
Up to ¼ of a minimum wage	25	5.0%	5-19
Other / suppressed	10	2.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	100	19.8%	20-49
Ages 15–24, male	70	13.9%	5-19
Ages 25–39, male	55	10.9%	5-19
Ages 40–59, male	55	10.9%	5-19
Ages 15–24, female	55	10.9%	5-19
Ages 40–59, female	45	8.9%	5-19
Ages 60 and over, female	40	7.9%	5-19
Ages 5–14, male	30	5.9%	5-19
Ages 5–14, female	30	5.9%	5-19
Ages 60 and over, male	25	5.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	950	53.4%	100-499
Completed high school, incomplete higher education	315	17.7%	100-499
Completed elementary, incomplete high school	265	14.9%	50-99
Completed higher education	250	14.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	875	33.7%	100-499
½ to 1 minimum wage	865	33.3%	100-499
¼ to ½ minimum wage	370	14.3%	100-499
More than 2 minimum wages	305	11.8%	50-99
Up to ¼ of a minimum wage	180	6.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	360	15.2%	100-499
Ages 40–59, male	345	14.5%	100-499
Ages 60 and over, female	295	12.4%	50-99
Ages 60 and over, male	275	11.6%	50-99
Ages 25–39, male	260	10.9%	50-99
Ages 25–39, female	245	10.3%	50-99
Ages 15–24, male	165	6.9%	50-99
Ages 5–14, male	160	6.7%	20-49
Ages 15–24, female	135	5.7%	20-49
Ages 5–14, female	135	5.7%	20-49

Commuting (work and study)

Commuting indicators for Pinhal/RS
Employed persons (aged 10 and over)	1,285
Commute out to work in another municipality	125
Commute in from another municipality to work here	370
Net commuting	+240
Out-commuting rate (%)	9.86
Commuting attraction index	1.183
Median commuting time	15 min

Open Pinhal/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/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pinhal-rs-4314456/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.