Migration in Darcinópolis/TO (2017–2022)

Darcinópolis/TO had a reference population (aged 5 or over in 2022) of 5,340 people. In the 2017–2022 five-year period, the municipality received 725 in-migrants and lost 490 out-migrants to other municipalities in Brazil, resulting in a net migration of +235 people (43.66 per 1,000 population) and a migration effectiveness index (IEM) of 0.192. 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 Darcinópolis/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	725	589 to 861	good
Out-migrants	490	318 to 662	use with caution
Net migration	+235	15 to 455	not classified
Net migration rate, TLM (per 1,000 pop.)	43.66	-	-
Migration effectiveness index (IEM)	0.192	-	-

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 Darcinópolis/TO
Origin	People	Precision
Araguaína/TO · view pair in the atlas	60	use with caution
Palmeiras do Tocantins/TO · view pair in the atlas	50	low precision
Estreito/MA · view pair in the atlas	45	low precision
Goiânia/GO · view pair in the atlas	40	low precision
Angico/TO · view pair in the atlas	35	low precision
Palmas/TO · view pair in the atlas	30	low precision
Riachinho/TO · view pair in the atlas	25	low precision
Wanderlândia/TO · view pair in the atlas	25	low precision
Tocantinópolis/TO · view pair in the atlas	20	low precision
Santa Fé do Araguaia/TO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Darcinópolis/TO
Destination	People	Precision
Wanderlândia/TO · view pair in the atlas	45	low precision
Palmeiras do Tocantins/TO · view pair in the atlas	35	low precision
Angico/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	485	67.4%	100-499
First move from municipality of birth	185	25.7%	50-99
Return to municipality of birth	50	6.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	44.2%	50-99
Completed high school, incomplete higher education	120	31.2%	20-49
Completed elementary, incomplete high school	70	18.2%	20-49
Completed higher education	25	6.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	285	39.6%	50-99
¼ to ½ minimum wage	205	28.5%	50-99
Up to ¼ of a minimum wage	115	16.0%	20-49
1 to 2 minimum wages	95	13.2%	20-49
More than 2 minimum wages	15	2.1%	5-19
Other / suppressed	5	0.7%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	120	16.8%	20-49
Ages 15–24, female	110	15.4%	20-49
Ages 25–39, female	110	15.4%	20-49
Ages 5–14, female	75	10.5%	20-49
Ages 15–24, male	75	10.5%	20-49
Ages 5–14, male	70	9.8%	20-49
Ages 40–59, female	70	9.8%	20-49
Ages 40–59, male	65	9.1%	20-49
Ages 60 and over, female	15	2.1%	5-19
Other / suppressed	5	0.7%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	340	70.1%	50-99
First move from municipality of birth	120	24.7%	5-19
Return to municipality of birth	25	5.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	100	45.5%	20-49
Completed high school, incomplete higher education	70	31.8%	5-19
Other / suppressed	25	11.4%	<5
Completed elementary, incomplete high school	25	11.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	185	37.8%	20-49
½ to 1 minimum wage	110	22.4%	20-49
1 to 2 minimum wages	85	17.3%	5-19
More than 2 minimum wages	65	13.3%	5-19
Up to ¼ of a minimum wage	45	9.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	130	26.8%	5-19
Ages 25–39, male	100	20.6%	5-19
Ages 5–14, female	65	13.4%	5-19
Ages 5–14, male	50	10.3%	5-19
Ages 25–39, female	45	9.3%	5-19
Ages 60 and over, female	35	7.2%	5-19
Other / suppressed	35	7.2%	5-19
Ages 60 and over, male	15	3.1%	5-19
Ages 40–59, female	10	2.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,440	48.2%	100-499
Completed high school, incomplete higher education	875	29.3%	100-499
Completed elementary, incomplete high school	440	14.7%	100-499
Completed higher education	230	7.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,985	39.0%	>=500
¼ to ½ minimum wage	1,470	28.9%	100-499
Up to ¼ of a minimum wage	785	15.4%	100-499
1 to 2 minimum wages	720	14.1%	100-499
More than 2 minimum wages	130	2.6%	20-49
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	660	14.3%	100-499
Ages 40–59, female	585	12.7%	100-499
Ages 25–39, female	520	11.3%	100-499
Ages 25–39, male	505	11.0%	100-499
Ages 5–14, male	430	9.3%	100-499
Ages 15–24, male	410	8.9%	100-499
Ages 15–24, female	390	8.5%	100-499
Ages 5–14, female	380	8.3%	100-499
Ages 60 and over, male	370	8.0%	100-499
Ages 60 and over, female	310	6.7%	100-499
Other / suppressed	40	0.9%	5-19

Commuting (work and study)

Commuting indicators for Darcinópolis/TO
Employed persons (aged 10 and over)	2,285
Commute out to work in another municipality	70
Commute in from another municipality to work here	75
Net commuting	+10
Out-commuting rate (%)	3.01
Commuting attraction index	0.987
Median commuting time	70 min

Open Darcinópolis/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]: Darcinópolis/TO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/darcinopolis-to-1706506/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.