Migration in Dianópolis/TO (2017–2022)

Dianópolis/TO had a reference population (aged 5 or over in 2022) of 16,325 people. In the 2017–2022 five-year period, the municipality received 670 in-migrants and lost 1,760 out-migrants to other municipalities in Brazil, resulting in a net migration of −1,090 people (−66.89 per 1,000 population) and a migration effectiveness index (IEM) of −0.450. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Dianópolis/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	670	428 to 912	use with caution
Out-migrants	1,760	1,407 to 2,113	good
Net migration	−1,090	−1,518 to −662	not classified
Net migration rate, TLM (per 1,000 pop.)	−66.89	-	-
Migration effectiveness index (IEM)	−0.450	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Dianópolis/TO
Origin	People	Precision
Palmas/TO · view pair in the atlas	95	low precision
Goiânia/GO · view pair in the atlas	80	low precision
Luís Eduardo Magalhães/BA · view pair in the atlas	45	low precision

Top 10 destinations of out-migrants from Dianópolis/TO
Destination	People	Precision
Palmas/TO · view pair in the atlas	350	use with caution
Luís Eduardo Magalhães/BA · view pair in the atlas	220	use with caution
Novo Jardim/TO · view pair in the atlas	115	use with caution
Gurupi/TO · view pair in the atlas	80	low precision
Conceição do Tocantins/TO · view pair in the atlas	55	low precision
Rio da Conceição/TO · view pair in the atlas	45	use with caution
Ponte Alta do Bom Jesus/TO · view pair in the atlas	30	low precision
Porto Alegre do Tocantins/TO · view pair in the atlas	25	low precision
Aurora do Tocantins/TO · view pair in the atlas	20	low precision
Almas/TO · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	260	38.8%	20-49
Return to municipality of birth	235	35.1%	20-49
First move from municipality of birth	175	26.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	130	34.2%	5-19
Completed higher education	110	28.9%	5-19
No schooling or incomplete elementary	75	19.7%	5-19
Completed elementary, incomplete high school	65	17.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	275	41.0%	20-49
Up to ¼ of a minimum wage	145	21.6%	5-19
More than 2 minimum wages	125	18.7%	5-19
¼ to ½ minimum wage	70	10.4%	5-19
1 to 2 minimum wages	55	8.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	140	21.1%	5-19
Ages 25–39, female	130	19.5%	5-19
Ages 15–24, male	110	16.5%	5-19
Other / suppressed	100	15.0%	5-19
Ages 15–24, female	70	10.5%	5-19
Ages 5–14, male	65	9.8%	5-19
Ages 40–59, male	50	7.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	945	53.7%	100-499
Multi-step migration	605	34.4%	100-499
Return to municipality of birth	210	11.9%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	395	44.4%	50-99
No schooling or incomplete elementary	250	28.1%	50-99
Completed higher education	180	20.2%	20-49
Completed elementary, incomplete high school	65	7.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	510	28.9%	50-99
1 to 2 minimum wages	390	22.1%	50-99
¼ to ½ minimum wage	380	21.5%	50-99
Up to ¼ of a minimum wage	245	13.9%	20-49
More than 2 minimum wages	235	13.3%	20-49
Other / suppressed	5	0.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	325	18.5%	20-49
Ages 25–39, female	315	17.9%	50-99
Ages 25–39, male	280	16.0%	50-99
Ages 15–24, male	220	12.5%	20-49
Ages 5–14, female	190	10.8%	20-49
Ages 40–59, male	130	7.4%	20-49
Ages 5–14, male	130	7.4%	20-49
Ages 40–59, female	110	6.3%	20-49
Ages 60 and over, male	30	1.7%	5-19
Ages 60 and over, female	25	1.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,340	42.9%	100-499
Completed high school, incomplete higher education	2,870	28.4%	100-499
Completed higher education	1,695	16.7%	100-499
Completed elementary, incomplete high school	1,215	12.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	5,670	33.3%	>=500
¼ to ½ minimum wage	4,765	27.9%	100-499
1 to 2 minimum wages	2,855	16.7%	100-499
Up to ¼ of a minimum wage	2,325	13.6%	100-499
More than 2 minimum wages	1,380	8.1%	100-499
Other / suppressed	55	0.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,050	13.1%	100-499
Ages 40–59, female	1,965	12.6%	100-499
Ages 25–39, female	1,955	12.5%	100-499
Ages 25–39, male	1,910	12.2%	100-499
Ages 15–24, female	1,410	9.0%	100-499
Ages 15–24, male	1,385	8.9%	100-499
Ages 5–14, male	1,380	8.8%	100-499
Ages 5–14, female	1,335	8.5%	100-499
Ages 60 and over, female	1,140	7.3%	100-499
Ages 60 and over, male	1,105	7.1%	100-499

Commuting (work and study)

Commuting indicators for Dianópolis/TO
Employed persons (aged 10 and over)	7,020
Commute out to work in another municipality	340
Commute in from another municipality to work here	385
Net commuting	+45
Out-commuting rate (%)	4.83
Commuting attraction index	0.985
Median commuting time	60 min

Open Dianópolis/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]: Dianópolis/TO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/dianopolis-to-1707009/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.