Migration in Lizarda/TO (2017–2022)

Lizarda/TO had a reference population (aged 5 or over in 2022) of 2,760 people. In the 2017–2022 five-year period, the municipality received 270 in-migrants and lost 570 out-migrants to other municipalities in Brazil, resulting in a net migration of −295 people (−107.17 per 1,000 population) and a migration effectiveness index (IEM) of −0.352. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Lizarda/TO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	270	185 to 355	use with caution
Out-migrants	570	343 to 797	use with caution
Net migration	−295	−537 to −53	not classified
Net migration rate, TLM (per 1,000 pop.)	−107.17	-	-
Migration effectiveness index (IEM)	−0.352	-	-

Sample of in-migrants: 50-99 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 Lizarda/TO
Origin	People	Precision
Palmas/TO · view pair in the atlas	85	use with caution
Alto Parnaíba/MA · view pair in the atlas	35	low precision
Miracema do Tocantins/TO · view pair in the atlas	25	low precision
Goiânia/GO · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Lizarda/TO
Destination	People	Precision
Palmas/TO · view pair in the atlas	255	low precision
Alto Parnaíba/MA · view pair in the atlas	45	low precision
Aparecida do Rio Negro/TO · view pair in the atlas	20	low precision
São Félix do Tocantins/TO · view pair in the atlas	20	low precision
Centenário/TO · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	110	40.7%	20-49
Return to municipality of birth	90	33.3%	20-49
Multi-step migration	70	25.9%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	60	37.5%	5-19
No schooling or incomplete elementary	55	34.4%	5-19
Completed higher education	25	15.6%	5-19
Completed elementary, incomplete high school	20	12.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	90	32.7%	20-49
½ to 1 minimum wage	60	21.8%	20-49
1 to 2 minimum wages	55	20.0%	5-19
Up to ¼ of a minimum wage	45	16.4%	5-19
More than 2 minimum wages	25	9.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	45	16.7%	5-19
Ages 25–39, male	40	14.8%	5-19
Ages 5–14, female	30	11.1%	5-19
Ages 40–59, male	30	11.1%	5-19
Ages 15–24, male	30	11.1%	5-19
Ages 15–24, female	30	11.1%	5-19
Ages 5–14, male	25	9.3%	5-19
Ages 40–59, female	20	7.4%	5-19
Ages 60 and over, female	15	5.6%	5-19
Other / suppressed	5	1.9%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	405	71.7%	50-99
Multi-step migration	125	22.1%	20-49
Return to municipality of birth	35	6.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	52.5%	20-49
Completed high school, incomplete higher education	85	27.9%	5-19
Completed elementary, incomplete high school	45	14.8%	5-19
Completed higher education	15	4.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	280	49.6%	20-49
1 to 2 minimum wages	135	23.9%	20-49
¼ to ½ minimum wage	85	15.0%	20-49
Up to ¼ of a minimum wage	40	7.1%	5-19
Other / suppressed	25	4.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	135	23.7%	20-49
Ages 15–24, male	85	14.9%	5-19
Ages 60 and over, female	70	12.3%	5-19
Ages 25–39, female	60	10.5%	5-19
Ages 25–39, male	60	10.5%	5-19
Ages 60 and over, male	45	7.9%	5-19
Ages 40–59, female	45	7.9%	5-19
Ages 40–59, male	30	5.3%	5-19
Ages 5–14, male	25	4.4%	5-19
Other / suppressed	15	2.6%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	990	60.7%	100-499
Completed high school, incomplete higher education	330	20.2%	100-499
Completed elementary, incomplete high school	165	10.1%	50-99
Completed higher education	145	8.9%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	835	30.6%	100-499
Up to ¼ of a minimum wage	800	29.4%	100-499
½ to 1 minimum wage	695	25.5%	100-499
1 to 2 minimum wages	270	9.9%	50-99
More than 2 minimum wages	125	4.6%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	315	12.7%	50-99
Ages 60 and over, male	305	12.3%	50-99
Ages 40–59, female	305	12.3%	50-99
Ages 25–39, male	245	9.9%	50-99
Ages 15–24, male	240	9.7%	50-99
Ages 60 and over, female	235	9.5%	50-99
Ages 5–14, male	230	9.3%	50-99
Ages 25–39, female	215	8.7%	50-99
Ages 5–14, female	195	7.9%	50-99
Ages 15–24, female	160	6.5%	50-99
Other / suppressed	35	1.4%	5-19

Commuting (work and study)

Commuting indicators for Lizarda/TO
Employed persons (aged 10 and over)	810
Commute out to work in another municipality	20
Commute in from another municipality to work here	45
Net commuting	+20
Out-commuting rate (%)	2.60
Commuting attraction index	1.022
Median commuting time	90 min

Open Lizarda/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]: Lizarda/TO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/lizarda-to-1712405/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.