Migration in Victor Graeff/RS (2017–2022)

Victor Graeff/RS had a reference population (aged 5 or over in 2022) of 2,635 people. In the 2017–2022 five-year period, the municipality received 420 in-migrants and lost 335 out-migrants to other municipalities in Brazil, resulting in a net migration of +85 people (33.09 per 1,000 population) and a migration effectiveness index (IEM) of 0.115. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Victor Graeff/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	420	315 to 525	good
Out-migrants	335	201 to 469	use with caution
Net migration	+85	−85 to 255	not classified
Net migration rate, TLM (per 1,000 pop.)	33.09	-	-
Migration effectiveness index (IEM)	0.115	-	-

Sample of in-migrants: 100-499 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 Victor Graeff/RS
Origin	People	Precision
Não-Me-Toque/RS · view pair in the atlas	105	use with caution
Santo Antônio do Planalto/RS · view pair in the atlas	40	low precision
Lagoa dos Três Cantos/RS · view pair in the atlas	35	low precision
Ibirubá/RS · view pair in the atlas	25	low precision
Porto Alegre/RS · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Victor Graeff/RS
Destination	People	Precision
Não-Me-Toque/RS · view pair in the atlas	70	use with caution
Carazinho/RS · view pair in the atlas	45	low precision
Tio Hugo/RS · view pair in the atlas	20	low precision
Santo Antônio do Planalto/RS · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	180	42.9%	50-99
Multi-step migration	155	36.9%	50-99
Return to municipality of birth	85	20.2%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	120	45.3%	20-49
No schooling or incomplete elementary	60	22.6%	5-19
Completed higher education	50	18.9%	5-19
Completed elementary, incomplete high school	35	13.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	205	49.4%	50-99
½ to 1 minimum wage	125	30.1%	20-49
More than 2 minimum wages	75	18.1%	20-49
Other / suppressed	10	2.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	80	19.0%	20-49
Ages 25–39, male	70	16.7%	20-49
Ages 40–59, male	55	13.1%	5-19
Ages 5–14, male	45	10.7%	5-19
Ages 15–24, female	40	9.5%	5-19
Ages 40–59, female	35	8.3%	5-19
Ages 15–24, male	35	8.3%	5-19
Ages 5–14, female	35	8.3%	5-19
Other / suppressed	25	6.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	155	46.3%	20-49
First move from municipality of birth	140	41.8%	20-49
Return to municipality of birth	40	11.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	38.0%	5-19
Completed higher education	90	36.0%	5-19
Completed high school, incomplete higher education	45	18.0%	5-19
Other / suppressed	20	8.0%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	125	36.8%	5-19
1 to 2 minimum wages	120	35.3%	20-49
¼ to ½ minimum wage	35	10.3%	5-19
½ to 1 minimum wage	35	10.3%	5-19
Other / suppressed	25	7.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	55	16.4%	5-19
Ages 60 and over, male	55	16.4%	5-19
Ages 60 and over, female	45	13.4%	5-19
Ages 25–39, male	40	11.9%	5-19
Ages 15–24, male	40	11.9%	5-19
Ages 25–39, female	40	11.9%	5-19
Ages 15–24, female	30	9.0%	5-19
Ages 40–59, female	20	6.0%	5-19
Other / suppressed	10	3.0%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	740	42.5%	100-499
Completed high school, incomplete higher education	495	28.4%	100-499
Completed higher education	285	16.4%	50-99
Completed elementary, incomplete high school	220	12.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	870	37.0%	100-499
More than 2 minimum wages	760	32.3%	100-499
½ to 1 minimum wage	580	24.7%	100-499
¼ to ½ minimum wage	90	3.8%	20-49
Up to ¼ of a minimum wage	50	2.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	370	16.7%	100-499
Ages 40–59, male	355	16.0%	100-499
Ages 60 and over, female	350	15.8%	100-499
Ages 60 and over, male	300	13.5%	100-499
Ages 25–39, female	185	8.4%	50-99
Ages 25–39, male	175	7.9%	50-99
Ages 15–24, male	150	6.8%	20-49
Ages 5–14, male	120	5.4%	20-49
Ages 15–24, female	110	5.0%	20-49
Ages 5–14, female	100	4.5%	20-49

Commuting (work and study)

Commuting indicators for Victor Graeff/RS
Employed persons (aged 10 and over)	1,415
Commute out to work in another municipality	220
Commute in from another municipality to work here	220
Net commuting	−5
Out-commuting rate (%)	15.70
Commuting attraction index	0.988
Median commuting time	20 min

Open Victor Graeff/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]: Victor Graeff/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/victor-graeff-rs-4323200/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.