Migration in Tenente Laurentino Cruz/RN (2017–2022)

Tenente Laurentino Cruz/RN had a reference population (aged 5 or over in 2022) of 5,490 people. In the 2017–2022 five-year period, the municipality received 520 in-migrants and lost 315 out-migrants to other municipalities in Brazil, resulting in a net migration of +205 people (37.05 per 1,000 population) and a migration effectiveness index (IEM) of 0.244. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Tenente Laurentino Cruz/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	520	407 to 633	good
Out-migrants	315	187 to 443	use with caution
Net migration	+205	34 to 376	not classified
Net migration rate, TLM (per 1,000 pop.)	37.05	-	-
Migration effectiveness index (IEM)	0.244	-	-

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 Tenente Laurentino Cruz/RN
Origin	People	Precision
São Vicente/RN · view pair in the atlas	80	low precision
Natal/RN · view pair in the atlas	80	low precision
Florânia/RN · view pair in the atlas	55	use with caution
Santana do Matos/RN · view pair in the atlas	40	low precision
Currais Novos/RN · view pair in the atlas	30	low precision
Mossoró/RN · view pair in the atlas	15	low precision
Caicó/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Tenente Laurentino Cruz/RN
Destination	People	Precision
Parnamirim/RN · view pair in the atlas	55	low precision
Florânia/RN · view pair in the atlas	40	low precision
São Vicente/RN · view pair in the atlas	35	low precision
Santana do Matos/RN · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	225	43.3%	50-99
Multi-step migration	220	42.3%	50-99
Return to municipality of birth	75	14.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	40.6%	20-49
Completed high school, incomplete higher education	105	32.8%	20-49
Completed elementary, incomplete high school	55	17.2%	5-19
Completed higher education	30	9.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	250	48.1%	50-99
¼ to ½ minimum wage	130	25.0%	20-49
Up to ¼ of a minimum wage	85	16.3%	20-49
1 to 2 minimum wages	35	6.7%	5-19
More than 2 minimum wages	20	3.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	80	15.2%	20-49
Ages 25–39, female	80	15.2%	20-49
Ages 25–39, male	75	14.3%	20-49
Ages 40–59, male	60	11.4%	5-19
Ages 40–59, female	60	11.4%	20-49
Ages 15–24, male	45	8.6%	5-19
Ages 5–14, female	35	6.7%	5-19
Ages 5–14, male	35	6.7%	5-19
Ages 60 and over, female	30	5.7%	5-19
Ages 60 and over, male	25	4.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	150	48.4%	20-49
First move from municipality of birth	115	37.1%	5-19
Return to municipality of birth	45	14.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	70	40.0%	5-19
Other / suppressed	55	31.4%	5-19
Completed high school, incomplete higher education	50	28.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	100	31.2%	5-19
¼ to ½ minimum wage	85	26.6%	5-19
1 to 2 minimum wages	85	26.6%	5-19
Up to ¼ of a minimum wage	40	12.5%	5-19
Other / suppressed	10	3.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	70	22.2%	5-19
Ages 25–39, female	60	19.0%	5-19
Other / suppressed	55	17.5%	5-19
Ages 40–59, male	35	11.1%	5-19
Ages 5–14, male	35	11.1%	5-19
Ages 25–39, male	35	11.1%	5-19
Ages 60 and over, female	25	7.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,660	51.4%	>=500
Completed high school, incomplete higher education	885	27.4%	100-499
Completed elementary, incomplete high school	390	12.1%	100-499
Completed higher education	295	9.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	1,655	30.8%	>=500
½ to 1 minimum wage	1,585	29.5%	>=500
Up to ¼ of a minimum wage	1,405	26.2%	100-499
1 to 2 minimum wages	530	9.9%	100-499
More than 2 minimum wages	195	3.6%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	665	13.4%	100-499
Ages 25–39, female	625	12.6%	100-499
Ages 40–59, male	615	12.3%	100-499
Ages 25–39, male	605	12.1%	100-499
Ages 15–24, male	460	9.2%	100-499
Ages 5–14, male	460	9.2%	100-499
Ages 5–14, female	435	8.7%	100-499
Ages 15–24, female	385	7.7%	100-499
Ages 60 and over, female	365	7.3%	100-499
Ages 60 and over, male	345	6.9%	100-499
Other / suppressed	20	0.4%	5-19

Commuting (work and study)

Commuting indicators for Tenente Laurentino Cruz/RN
Employed persons (aged 10 and over)	2,385
Commute out to work in another municipality	230
Commute in from another municipality to work here	220
Net commuting	−10
Out-commuting rate (%)	9.70
Commuting attraction index	0.988
Median commuting time	30 min

Open Tenente Laurentino Cruz/RN 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]: Tenente Laurentino Cruz/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/tenente-laurentino-cruz-rn-2414159/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.