Migration in Paverama/RS (2017–2022)

Paverama/RS had a reference population (aged 5 or over in 2022) of 7,535 people. In the 2017–2022 five-year period, the municipality received 490 in-migrants and lost 350 out-migrants to other municipalities in Brazil, resulting in a net migration of +140 people (18.67 per 1,000 population) and a migration effectiveness index (IEM) of 0.168. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Paverama/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	490	346 to 634	use with caution
Out-migrants	350	206 to 494	use with caution
Net migration	+140	−64 to 344	not classified
Net migration rate, TLM (per 1,000 pop.)	18.67	-	-
Migration effectiveness index (IEM)	0.168	-	-

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 Paverama/RS
Origin	People	Precision
Teutônia/RS · view pair in the atlas	60	low precision
São Leopoldo/RS · view pair in the atlas	45	low precision
Porto Alegre/RS · view pair in the atlas	45	low precision
Novo Hamburgo/RS · view pair in the atlas	40	low precision
Lajeado/RS · view pair in the atlas	30	low precision
Tabaí/RS · view pair in the atlas	30	low precision
Taquari/RS · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Paverama/RS
Destination	People	Precision
Teutônia/RS · view pair in the atlas	50	low precision
Fazenda Vilanova/RS · view pair in the atlas	30	low precision
Tabaí/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	310	63.3%	50-99
First move from municipality of birth	125	25.5%	20-49
Return to municipality of birth	55	11.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	125	36.8%	20-49
Completed high school, incomplete higher education	90	26.5%	5-19
Completed elementary, incomplete high school	90	26.5%	5-19
Completed higher education	35	10.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	165	34.0%	20-49
½ to 1 minimum wage	120	24.7%	20-49
More than 2 minimum wages	85	17.5%	5-19
¼ to ½ minimum wage	65	13.4%	5-19
Up to ¼ of a minimum wage	50	10.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	85	17.2%	5-19
Ages 40–59, female	85	17.2%	5-19
Ages 25–39, male	55	11.1%	5-19
Ages 15–24, male	45	9.1%	5-19
Ages 60 and over, male	45	9.1%	5-19
Ages 25–39, female	40	8.1%	5-19
Ages 5–14, female	40	8.1%	5-19
Ages 60 and over, female	35	7.1%	5-19
Ages 15–24, female	35	7.1%	5-19
Ages 5–14, male	30	6.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	210	60.0%	20-49
First move from municipality of birth	105	30.0%	20-49
Return to municipality of birth	35	10.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	135	54.0%	20-49
Completed elementary, incomplete high school	55	22.0%	5-19
Other / suppressed	35	14.0%	<5
Completed high school, incomplete higher education	25	10.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	135	38.6%	20-49
¼ to ½ minimum wage	90	25.7%	5-19
More than 2 minimum wages	75	21.4%	5-19
½ to 1 minimum wage	45	12.9%	5-19
Other / suppressed	5	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	105	30.0%	5-19
Ages 25–39, male	70	20.0%	5-19
Ages 15–24, male	40	11.4%	5-19
Other / suppressed	30	8.6%	5-19
Ages 40–59, male	30	8.6%	5-19
Ages 5–14, female	30	8.6%	5-19
Ages 40–59, female	25	7.1%	5-19
Ages 5–14, male	20	5.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,900	54.9%	>=500
Completed high school, incomplete higher education	1,150	21.8%	100-499
Completed elementary, incomplete high school	930	17.6%	100-499
Completed higher education	305	5.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,770	37.0%	>=500
1 to 2 minimum wages	2,745	36.7%	>=500
¼ to ½ minimum wage	870	11.6%	100-499
More than 2 minimum wages	820	11.0%	100-499
Up to ¼ of a minimum wage	220	2.9%	20-49
Not applicable (collective dwelling)	55	0.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,050	14.9%	100-499
Ages 40–59, female	1,000	14.2%	100-499
Ages 60 and over, female	930	13.2%	100-499
Ages 60 and over, male	840	11.9%	100-499
Ages 25–39, female	750	10.7%	100-499
Ages 25–39, male	715	10.2%	100-499
Ages 5–14, male	475	6.7%	50-99
Ages 15–24, female	430	6.1%	50-99
Ages 15–24, male	425	6.0%	50-99
Ages 5–14, female	425	6.0%	50-99

Commuting (work and study)

Commuting indicators for Paverama/RS
Employed persons (aged 10 and over)	3,695
Commute out to work in another municipality	900
Commute in from another municipality to work here	295
Net commuting	−605
Out-commuting rate (%)	24.39
Commuting attraction index	0.762
Median commuting time	30 min

Open Paverama/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]: Paverama/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/paverama-rs-4314159/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.