Migration in São Luiz do Norte/GO (2017–2022)

São Luiz do Norte/GO had a reference population (aged 5 or over in 2022) of 4,550 people. In the 2017–2022 five-year period, the municipality received 665 in-migrants and lost 370 out-migrants to other municipalities in Brazil, resulting in a net migration of +300 people (65.38 per 1,000 population) and a migration effectiveness index (IEM) of 0.288. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for São Luiz do Norte/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	665	529 to 801	good
Out-migrants	370	224 to 516	use with caution
Net migration	+300	101 to 499	not classified
Net migration rate, TLM (per 1,000 pop.)	65.38	-	-
Migration effectiveness index (IEM)	0.288	-	-

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 São Luiz do Norte/GO
Origin	People	Precision
Goiânia/GO · view pair in the atlas	70	use with caution
Goianésia/GO · view pair in the atlas	65	low precision
Hidrolina/GO · view pair in the atlas	55	low precision
Uruaçu/GO · view pair in the atlas	50	low precision
Nova Glória/GO · view pair in the atlas	25	low precision
Brasília/DF · view pair in the atlas	25	low precision
Itapaci/GO · view pair in the atlas	20	low precision
Anápolis/GO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Luiz do Norte/GO
Destination	People	Precision
Goianésia/GO · view pair in the atlas	90	low precision
Uruaçu/GO · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	455	68.4%	100-499
First move from municipality of birth	175	26.3%	50-99
Return to municipality of birth	35	5.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	235	52.2%	50-99
Completed high school, incomplete higher education	120	26.7%	20-49
Completed elementary, incomplete high school	50	11.1%	5-19
Completed higher education	45	10.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	260	39.1%	50-99
¼ to ½ minimum wage	135	20.3%	20-49
1 to 2 minimum wages	125	18.8%	20-49
Up to ¼ of a minimum wage	80	12.0%	20-49
More than 2 minimum wages	65	9.8%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	105	15.9%	20-49
Ages 40–59, male	105	15.9%	20-49
Ages 25–39, male	80	12.1%	20-49
Ages 5–14, male	75	11.4%	20-49
Ages 25–39, female	75	11.4%	20-49
Ages 15–24, male	55	8.3%	5-19
Ages 60 and over, male	50	7.6%	5-19
Ages 5–14, female	50	7.6%	5-19
Ages 15–24, female	35	5.3%	5-19
Ages 60 and over, female	30	4.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	275	74.3%	20-49
Return to municipality of birth	60	16.2%	5-19
First move from municipality of birth	35	9.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	47.8%	5-19
Completed higher education	50	21.7%	5-19
Completed elementary, incomplete high school	40	17.4%	5-19
Completed high school, incomplete higher education	30	13.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	160	43.8%	20-49
¼ to ½ minimum wage	100	27.4%	20-49
½ to 1 minimum wage	90	24.7%	5-19
Other / suppressed	15	4.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	65	17.6%	5-19
Ages 40–59, male	65	17.6%	5-19
Other / suppressed	60	16.2%	5-19
Ages 25–39, female	55	14.9%	5-19
Ages 60 and over, male	40	10.8%	5-19
Ages 40–59, female	35	9.5%	5-19
Ages 15–24, male	30	8.1%	5-19
Ages 5–14, female	20	5.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,340	49.6%	100-499
Completed high school, incomplete higher education	720	26.7%	100-499
Completed elementary, incomplete high school	340	12.6%	100-499
Completed higher education	300	11.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,705	40.9%	>=500
1 to 2 minimum wages	1,005	24.1%	100-499
¼ to ½ minimum wage	865	20.7%	100-499
More than 2 minimum wages	325	7.8%	100-499
Up to ¼ of a minimum wage	270	6.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	590	15.2%	100-499
Ages 40–59, male	575	14.8%	100-499
Ages 25–39, male	430	11.1%	100-499
Ages 25–39, female	405	10.4%	100-499
Ages 60 and over, male	375	9.6%	100-499
Ages 60 and over, female	330	8.5%	100-499
Ages 5–14, female	305	7.8%	100-499
Ages 15–24, male	300	7.7%	50-99
Ages 5–14, male	295	7.6%	50-99
Ages 15–24, female	285	7.3%	50-99

Commuting (work and study)

Commuting indicators for São Luiz do Norte/GO
Employed persons (aged 10 and over)	2,080
Commute out to work in another municipality	305
Commute in from another municipality to work here	135
Net commuting	−170
Out-commuting rate (%)	14.64
Commuting attraction index	0.876
Median commuting time	60 min

Open São Luiz do Norte/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]: São Luiz do Norte/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-luiz-do-norte-go-5220157/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.