Migration in Rio Quente/GO (2017–2022)

Rio Quente/GO had a reference population (aged 5 or over in 2022) of 3,605 people. In the 2017–2022 five-year period, the municipality received 660 in-migrants and lost 420 out-migrants to other municipalities in Brazil, resulting in a net migration of +235 people (65.47 per 1,000 population) and a migration effectiveness index (IEM) of 0.219. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Rio Quente/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	660	523 to 797	good
Out-migrants	420	249 to 591	use with caution
Net migration	+235	15 to 455	not classified
Net migration rate, TLM (per 1,000 pop.)	65.47	-	-
Migration effectiveness index (IEM)	0.219	-	-

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 Rio Quente/GO
Origin	People	Precision
Morrinhos/GO · view pair in the atlas	105	use with caution
Caldas Novas/GO · view pair in the atlas	100	use with caution
Codó/MA · view pair in the atlas	55	low precision
Goiânia/GO · view pair in the atlas	55	low precision
Presidente Dutra/BA · view pair in the atlas	35	low precision
Brasília/DF · view pair in the atlas	25	low precision
São Paulo/SP · view pair in the atlas	25	low precision
Água Limpa/GO · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Rio Quente/GO
Destination	People	Precision
Caldas Novas/GO · view pair in the atlas	120	low precision
Morrinhos/GO · view pair in the atlas	60	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	350	53.4%	100-499
Multi-step migration	300	45.8%	50-99
Other / suppressed	5	0.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	185	44.0%	50-99
Completed high school, incomplete higher education	85	20.2%	20-49
Completed higher education	75	17.9%	20-49
Completed elementary, incomplete high school	75	17.9%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	295	44.7%	50-99
1 to 2 minimum wages	175	26.5%	50-99
More than 2 minimum wages	75	11.4%	20-49
¼ to ½ minimum wage	55	8.3%	5-19
Up to ¼ of a minimum wage	45	6.8%	5-19
Other / suppressed	15	2.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	100	15.2%	20-49
Ages 25–39, male	90	13.6%	20-49
Ages 15–24, male	85	12.9%	20-49
Ages 40–59, male	70	10.6%	20-49
Ages 40–59, female	60	9.1%	20-49
Ages 15–24, female	60	9.1%	5-19
Ages 60 and over, male	50	7.6%	5-19
Ages 5–14, female	50	7.6%	5-19
Ages 5–14, male	50	7.6%	5-19
Ages 60 and over, female	45	6.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	270	64.3%	20-49
Return to municipality of birth	130	31.0%	5-19
First move from municipality of birth	20	4.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	75	33.3%	5-19
Completed high school, incomplete higher education	75	33.3%	5-19
No schooling or incomplete elementary	40	17.8%	5-19
Completed elementary, incomplete high school	35	15.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	110	26.5%	20-49
¼ to ½ minimum wage	110	26.5%	5-19
More than 2 minimum wages	105	25.3%	5-19
1 to 2 minimum wages	65	15.7%	5-19
Other / suppressed	25	6.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	65	15.1%	5-19
Ages 25–39, female	65	15.1%	5-19
Ages 15–24, male	60	14.0%	5-19
Ages 5–14, male	55	12.8%	5-19
Ages 40–59, male	55	12.8%	5-19
Ages 15–24, female	55	12.8%	5-19
Ages 40–59, female	30	7.0%	5-19
Ages 5–14, female	30	7.0%	5-19
Other / suppressed	15	3.5%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	840	41.2%	100-499
Completed high school, incomplete higher education	525	25.7%	100-499
Completed higher education	360	17.6%	100-499
Completed elementary, incomplete high school	315	15.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,150	35.9%	100-499
1 to 2 minimum wages	1,045	32.6%	100-499
More than 2 minimum wages	475	14.8%	100-499
¼ to ½ minimum wage	370	11.5%	100-499
Up to ¼ of a minimum wage	160	5.0%	20-49
Other / suppressed	5	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	520	17.6%	100-499
Ages 40–59, male	475	16.1%	100-499
Ages 25–39, male	310	10.5%	50-99
Ages 25–39, female	305	10.3%	100-499
Ages 15–24, female	240	8.1%	50-99
Ages 15–24, male	240	8.1%	50-99
Ages 60 and over, female	220	7.5%	50-99
Ages 60 and over, male	215	7.3%	50-99
Ages 5–14, male	215	7.3%	50-99
Ages 5–14, female	210	7.1%	50-99

Commuting (work and study)

Commuting indicators for Rio Quente/GO
Employed persons (aged 10 and over)	2,160
Commute out to work in another municipality	90
Commute in from another municipality to work here	1,275
Net commuting	+1,185
Out-commuting rate (%)	4.12
Commuting attraction index	1.532
Median commuting time	30 min

Open Rio Quente/GO 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 Quente/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/rio-quente-go-5218789/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.