Migration in Bernardo Sayão/TO (2017–2022)

Bernardo Sayão/TO had a reference population (aged 5 or over in 2022) of 3,935 people. In the 2017–2022 five-year period, the municipality received 595 in-migrants and lost 520 out-migrants to other municipalities in Brazil, resulting in a net migration of +75 people (19.62 per 1,000 population) and a migration effectiveness index (IEM) of 0.069. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Bernardo Sayão/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	595	464 to 726	good
Out-migrants	520	317 to 723	use with caution
Net migration	+75	−166 to 316	not classified
Net migration rate, TLM (per 1,000 pop.)	19.62	-	-
Migration effectiveness index (IEM)	0.069	-	-

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 Bernardo Sayão/TO
Origin	People	Precision
Colinas do Tocantins/TO · view pair in the atlas	80	use with caution
Arapoema/TO · view pair in the atlas	55	low precision
Goiânia/GO · view pair in the atlas	35	low precision
Araguaína/TO · view pair in the atlas	35	low precision
Juarina/TO · view pair in the atlas	30	low precision
Conceição do Araguaia/PA · view pair in the atlas	25	low precision
Pequizeiro/TO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Bernardo Sayão/TO
Destination	People	Precision
Colinas do Tocantins/TO · view pair in the atlas	110	low precision
Couto Magalhães/TO · view pair in the atlas	25	low precision
Juarina/TO · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	320	53.3%	100-499
First move from municipality of birth	205	34.2%	50-99
Return to municipality of birth	75	12.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	205	58.6%	50-99
Completed high school, incomplete higher education	65	18.6%	20-49
Completed elementary, incomplete high school	60	17.1%	20-49
Completed higher education	20	5.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	210	35.6%	50-99
¼ to ½ minimum wage	185	31.4%	50-99
Up to ¼ of a minimum wage	85	14.4%	20-49
1 to 2 minimum wages	75	12.7%	20-49
More than 2 minimum wages	35	5.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	95	15.8%	20-49
Ages 25–39, male	85	14.2%	20-49
Ages 5–14, female	85	14.2%	20-49
Ages 40–59, female	75	12.5%	20-49
Ages 40–59, male	60	10.0%	5-19
Ages 15–24, male	55	9.2%	5-19
Ages 5–14, male	55	9.2%	5-19
Ages 15–24, female	50	8.3%	5-19
Ages 60 and over, male	25	4.2%	5-19
Ages 60 and over, female	15	2.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	325	62.5%	50-99
First move from municipality of birth	135	26.0%	5-19
Return to municipality of birth	60	11.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	155	68.9%	5-19
Other / suppressed	40	17.8%	5-19
No schooling or incomplete elementary	30	13.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	165	32.0%	5-19
1 to 2 minimum wages	100	19.4%	20-49
Up to ¼ of a minimum wage	95	18.4%	5-19
More than 2 minimum wages	90	17.5%	5-19
¼ to ½ minimum wage	65	12.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	120	23.1%	5-19
Ages 25–39, female	100	19.2%	5-19
Ages 25–39, male	75	14.4%	5-19
Ages 5–14, male	70	13.5%	5-19
Ages 15–24, female	65	12.5%	5-19
Ages 5–14, female	40	7.7%	5-19
Other / suppressed	30	5.8%	5-19
Ages 40–59, male	20	3.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,105	47.8%	100-499
Completed high school, incomplete higher education	590	25.5%	100-499
Completed elementary, incomplete high school	355	15.4%	100-499
Completed higher education	260	11.3%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,340	36.9%	100-499
¼ to ½ minimum wage	890	24.5%	100-499
1 to 2 minimum wages	670	18.5%	100-499
Up to ¼ of a minimum wage	450	12.4%	100-499
More than 2 minimum wages	280	7.7%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	550	16.5%	100-499
Ages 40–59, female	500	15.0%	100-499
Ages 25–39, male	365	10.9%	100-499
Ages 25–39, female	340	10.2%	100-499
Ages 60 and over, male	285	8.5%	50-99
Ages 60 and over, female	270	8.1%	50-99
Ages 5–14, female	265	7.9%	50-99
Ages 5–14, male	265	7.9%	50-99
Ages 15–24, male	255	7.6%	50-99
Ages 15–24, female	240	7.2%	50-99

Commuting (work and study)

Commuting indicators for Bernardo Sayão/TO
Employed persons (aged 10 and over)	1,750
Commute out to work in another municipality	85
Commute in from another municipality to work here	75
Net commuting	−15
Out-commuting rate (%)	4.97
Commuting attraction index	0.971
Median commuting time	45 min

Open Bernardo Sayão/TO 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]: Bernardo Sayão/TO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/bernardo-sayao-to-1703206/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.