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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Novo Lino/AL (2017–2022)

Novo Lino/AL had a reference population (aged 5 or over in 2022) of 9,250 people. In the 2017–2022 five-year period, the municipality received 595 in-migrants and lost 935 out-migrants to other municipalities in Brazil, resulting in a net migration of −345 people (−37.12 per 1,000 population) and a migration effectiveness index (IEM) of −0.224. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Novo Lino/AL, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants595438 to 752good
Out-migrants935656 to 1,214use with caution
Net migration−345−665 to −25not classified
Net migration rate, TLM (per 1,000 pop.)−37.12--
Migration effectiveness index (IEM)−0.224--

Sample of in-migrants: 100-499 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 Novo Lino/AL
OriginPeoplePrecision
Maceió/AL · view pair in the atlas110low precision
Joaquim Gomes/AL · view pair in the atlas45low precision
Recife/PE · view pair in the atlas45low precision
São Paulo/SP · view pair in the atlas40low precision
Jundiá/AL · view pair in the atlas35low precision
Água Preta/PE · view pair in the atlas30low precision
Colônia Leopoldina/AL · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Novo Lino/AL
DestinationPeoplePrecision
Campestre/AL · view pair in the atlas80low precision
Messias/AL · view pair in the atlas35low precision
Campos de Júlio/MT · view pair in the atlas30low precision
Jundiá/AL · view pair in the atlas30low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth27045.4%50-99
Return to municipality of birth18030.3%20-49
Multi-step migration14524.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary18052.2%20-49
Completed high school, incomplete higher education9527.5%5-19
Completed elementary, incomplete high school5014.5%5-19
Other / suppressed205.8%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage23038.7%50-99
Up to ¼ of a minimum wage15526.1%20-49
½ to 1 minimum wage15025.2%20-49
1 to 2 minimum wages508.4%5-19
Other / suppressed101.7%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male8514.0%20-49
Ages 25–39, male8514.0%5-19
Ages 5–14, female7011.6%5-19
Ages 15–24, female7011.6%5-19
Ages 25–39, female7011.6%5-19
Ages 40–59, female6510.7%5-19
Ages 15–24, male6510.7%5-19
Other / suppressed609.9%5-19
Ages 5–14, male355.8%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth56059.6%50-99
Multi-step migration32034.0%50-99
Return to municipality of birth606.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary23558.0%50-99
Completed high school, incomplete higher education12029.6%5-19
Completed elementary, incomplete high school4511.1%5-19
Other / suppressed51.2%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage34536.7%20-49
½ to 1 minimum wage27028.7%20-49
Up to ¼ of a minimum wage18019.1%20-49
1 to 2 minimum wages707.4%5-19
More than 2 minimum wages606.4%5-19
Other / suppressed151.6%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female20521.8%20-49
Ages 15–24, male16017.0%20-49
Ages 25–39, male14515.4%20-49
Ages 25–39, female10511.2%20-49
Ages 5–14, female9510.1%5-19
Ages 40–59, male859.0%5-19
Ages 5–14, male707.4%5-19
Ages 40–59, female303.2%5-19
Ages 60 and over, male252.7%5-19
Other / suppressed202.1%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,58064.7%>=500
Completed high school, incomplete higher education97017.5%100-499
Completed elementary, incomplete high school5359.7%100-499
Completed higher education4458.0%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage3,01532.0%>=500
½ to 1 minimum wage2,71528.8%>=500
Up to ¼ of a minimum wage2,65528.2%>=500
1 to 2 minimum wages8459.0%100-499
More than 2 minimum wages2002.1%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,19013.8%100-499
Ages 40–59, male1,15013.3%100-499
Ages 25–39, female99011.4%100-499
Ages 25–39, male91010.5%100-499
Ages 5–14, male7809.0%100-499
Ages 15–24, male7608.8%100-499
Ages 5–14, female7558.7%100-499
Ages 15–24, female7458.6%100-499
Ages 60 and over, female5656.5%100-499
Ages 60 and over, male5256.1%100-499
Ages 25–39, sex undetermined1101.3%20-49
Ages 40–59, sex undetermined500.6%5-19
Ages 5–14, sex undetermined450.5%5-19
Ages 15–24, sex undetermined400.5%5-19
Ages 60 and over, sex undetermined350.4%5-19

Commuting (work and study)

Commuting indicators for Novo Lino/AL
Employed persons (aged 10 and over)2,825
Commute out to work in another municipality370
Commute in from another municipality to work here240
Net commuting−130
Out-commuting rate (%)13.09
Commuting attraction index0.934
Median commuting time85 min

Open Novo Lino/AL 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]: Novo Lino/AL. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/novo-lino-al-2705606/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.