Migration in Rio Grande/RS (2017–2022)

Rio Grande/RS had a reference population (aged 5 or over in 2022) of 181,030 people. In the 2017–2022 five-year period, the municipality received 8,050 in-migrants and lost 14,125 out-migrants to other municipalities in Brazil, resulting in a net migration of −6,075 people (−33.55 per 1,000 population) and a migration effectiveness index (IEM) of −0.274. This classifies the municipality, for the period, as one of migratory depletion. In addition, 120 arrived with an unreported origin and 200 came from abroad.

Indicators

Migration indicators for Rio Grande/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	8,050	7,169 to 8,931	good
Out-migrants	14,125	12,841 to 15,409	good
Net migration	−6,075	−7,632 to −4,518	not classified
Net migration rate, TLM (per 1,000 pop.)	−33.55	-	-
Migration effectiveness index (IEM)	−0.274	-	-

Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Rio Grande/RS
Origin	People	Precision
Pelotas/RS · view pair in the atlas	970	good
Rio de Janeiro/RJ · view pair in the atlas	650	use with caution
Porto Alegre/RS · view pair in the atlas	470	use with caution
Bagé/RS · view pair in the atlas	315	use with caution
São José do Norte/RS · view pair in the atlas	235	use with caution
Santa Vitória do Palmar/RS · view pair in the atlas	165	low precision
Canoas/RS · view pair in the atlas	155	low precision
São Lourenço do Sul/RS · view pair in the atlas	140	low precision
Florianópolis/SC · view pair in the atlas	135	low precision
Camaquã/RS · view pair in the atlas	120	low precision

Top 10 destinations of out-migrants from Rio Grande/RS
Destination	People	Precision
Pelotas/RS · view pair in the atlas	1,425	good
Porto Alegre/RS · view pair in the atlas	690	use with caution
Florianópolis/SC · view pair in the atlas	665	use with caution
Itajaí/SC · view pair in the atlas	455	use with caution
Bagé/RS · view pair in the atlas	305	use with caution
Joinville/SC · view pair in the atlas	305	low precision
Rio de Janeiro/RJ · view pair in the atlas	290	low precision
São José/SC · view pair in the atlas	255	use with caution
Canoas/RS · view pair in the atlas	240	low precision
Navegantes/SC · view pair in the atlas	240	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	3,850	47.8%	100-499
Multi-step migration	2,450	30.4%	100-499
Return to municipality of birth	1,730	21.5%	100-499
Other / suppressed	20	0.2%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	1,965	37.8%	100-499
Completed higher education	1,860	35.7%	100-499
No schooling or incomplete elementary	890	17.1%	50-99
Completed elementary, incomplete high school	490	9.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	2,670	33.2%	100-499
1 to 2 minimum wages	2,200	27.3%	100-499
½ to 1 minimum wage	1,670	20.7%	100-499
¼ to ½ minimum wage	845	10.5%	50-99
Up to ¼ of a minimum wage	500	6.2%	50-99
Not applicable (collective dwelling)	165	2.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	1,630	20.2%	100-499
Ages 25–39, male	1,375	17.1%	100-499
Ages 15–24, female	875	10.9%	50-99
Ages 40–59, male	860	10.7%	50-99
Ages 15–24, male	765	9.5%	50-99
Ages 5–14, male	640	8.0%	50-99
Ages 40–59, female	615	7.6%	50-99
Ages 5–14, female	570	7.1%	50-99
Ages 60 and over, female	455	5.7%	20-49
Ages 60 and over, male	265	3.3%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	6,790	48.1%	>=500
Multi-step migration	4,790	33.9%	100-499
Return to municipality of birth	2,380	16.8%	100-499
Born abroad, internal migrant	165	1.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	4,075	40.6%	100-499
Completed high school, incomplete higher education	3,705	36.9%	100-499
No schooling or incomplete elementary	1,340	13.3%	100-499
Completed elementary, incomplete high school	925	9.2%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	5,325	37.7%	100-499
1 to 2 minimum wages	4,605	32.6%	100-499
½ to 1 minimum wage	2,735	19.4%	100-499
¼ to ½ minimum wage	825	5.8%	100-499
Up to ¼ of a minimum wage	565	4.0%	50-99
Not applicable (collective dwelling)	65	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	2,880	20.4%	100-499
Ages 25–39, male	2,680	19.0%	100-499
Ages 40–59, male	1,780	12.6%	100-499
Ages 40–59, female	1,545	10.9%	100-499
Ages 15–24, male	1,075	7.6%	100-499
Ages 5–14, female	1,065	7.5%	50-99
Ages 15–24, female	1,040	7.4%	50-99
Ages 5–14, male	900	6.4%	50-99
Ages 60 and over, female	620	4.4%	50-99
Ages 60 and over, male	545	3.9%	50-99

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	40,980	32.8%	>=500
No schooling or incomplete elementary	40,915	32.7%	>=500
Completed higher education	23,580	18.9%	>=500
Completed elementary, incomplete high school	19,545	15.6%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	54,525	29.7%	>=500
1 to 2 minimum wages	52,130	28.4%	>=500
More than 2 minimum wages	31,510	17.2%	>=500
¼ to ½ minimum wage	28,140	15.3%	>=500
Up to ¼ of a minimum wage	16,295	8.9%	>=500
Not applicable (collective dwelling)	935	0.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	25,530	14.8%	>=500
Ages 40–59, male	22,655	13.1%	>=500
Ages 60 and over, female	21,385	12.4%	>=500
Ages 25–39, female	20,165	11.7%	>=500
Ages 25–39, male	18,980	11.0%	>=500
Ages 60 and over, male	16,205	9.4%	>=500
Ages 15–24, male	12,310	7.1%	>=500
Ages 15–24, female	12,230	7.1%	>=500
Ages 5–14, male	11,800	6.8%	>=500
Ages 5–14, female	11,100	6.4%	>=500
Ages 5–14, sex undetermined	120	0.1%	5-19
Ages 15–24, sex undetermined	85	0.0%	5-19
Ages 40–59, sex undetermined	65	0.0%	5-19
Ages 25–39, sex undetermined	40	0.0%	5-19

Commuting (work and study)

Commuting indicators for Rio Grande/RS
Employed persons (aged 10 and over)	82,305
Commute out to work in another municipality	2,005
Commute in from another municipality to work here	3,730
Net commuting	+1,725
Out-commuting rate (%)	2.44
Commuting attraction index	1.003
Median commuting time	60 min

Open Rio 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]: Rio Grande/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/rio-grande-rs-4315602/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.