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

Migration in Nova Olinda do Norte/AM (2017–2022)

Nova Olinda do Norte/AM had a reference population (aged 5 or over in 2022) of 24,010 people. In the 2017–2022 five-year period, the municipality received 1,410 in-migrants and lost 1,410 out-migrants to other municipalities in Brazil, resulting in a net migration of −5 people (−0.16 per 1,000 population) and a migration effectiveness index (IEM) of −0.001. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Nova Olinda do Norte/AM, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,4101,060 to 1,760good
Out-migrants1,410965 to 1,855use with caution
Net migration−5−571 to 561not classified
Net migration rate, TLM (per 1,000 pop.)−0.16--
Migration effectiveness index (IEM)−0.001--

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 Nova Olinda do Norte/AM
OriginPeoplePrecision
Manaus/AM · view pair in the atlas730use with caution
Borba/AM · view pair in the atlas120low precision
Maués/AM · view pair in the atlas90low precision
Autazes/AM · view pair in the atlas70low precision
Itacoatiara/AM · view pair in the atlas55low precision
Top 10 destinations of out-migrants from Nova Olinda do Norte/AM
DestinationPeoplePrecision
Manaus/AM · view pair in the atlas725use with caution
Itacoatiara/AM · view pair in the atlas180low precision
Borba/AM · view pair in the atlas60low precision
Autazes/AM · view pair in the atlas50low precision
Silves/AM · view pair in the atlas40low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth77555.0%50-99
Return to municipality of birth40528.7%20-49
Multi-step migration23016.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education30042.9%20-49
No schooling or incomplete elementary17024.3%20-49
Completed elementary, incomplete high school13519.3%5-19
Completed higher education9513.6%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage49034.8%20-49
½ to 1 minimum wage46032.6%50-99
¼ to ½ minimum wage37026.2%20-49
Other / suppressed503.5%5-19
1 to 2 minimum wages402.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 5–14, female22015.6%20-49
Ages 25–39, female20014.2%20-49
Ages 5–14, male18513.1%5-19
Ages 15–24, female18012.8%5-19
Ages 25–39, male16511.7%5-19
Ages 40–59, male14510.3%5-19
Ages 15–24, male1258.9%5-19
Ages 40–59, female1057.4%5-19
Ages 60 and over, male705.0%5-19
Other / suppressed151.1%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth91564.7%50-99
Return to municipality of birth27019.1%20-49
Multi-step migration23016.3%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education28040.9%20-49
No schooling or incomplete elementary24035.0%5-19
Completed elementary, incomplete high school12518.2%5-19
Completed higher education405.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage56039.7%20-49
Up to ¼ of a minimum wage38527.3%20-49
½ to 1 minimum wage27519.5%20-49
1 to 2 minimum wages1208.5%5-19
More than 2 minimum wages604.3%5-19
Other / suppressed100.7%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female28019.7%20-49
Ages 25–39, male19513.7%5-19
Ages 15–24, male19013.4%5-19
Ages 25–39, female17512.3%5-19
Ages 5–14, male1359.5%5-19
Ages 5–14, female1309.2%5-19
Ages 60 and over, male1007.0%5-19
Ages 40–59, female956.7%5-19
Ages 40–59, male856.0%5-19
Other / suppressed352.5%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5,63547.1%>=500
Completed high school, incomplete higher education3,28027.4%100-499
Completed elementary, incomplete high school2,12017.7%100-499
Completed higher education9207.7%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage9,77038.1%>=500
¼ to ½ minimum wage8,60533.6%>=500
½ to 1 minimum wage5,56021.7%>=500
1 to 2 minimum wages1,3955.4%100-499
More than 2 minimum wages3151.2%20-49
Age and sex
CategoryEstimateShareSample
Ages 5–14, male2,85012.6%100-499
Ages 15–24, male2,72012.0%100-499
Ages 5–14, female2,68511.9%100-499
Ages 25–39, male2,68511.9%100-499
Ages 25–39, female2,60511.5%100-499
Ages 15–24, female2,38010.5%100-499
Ages 40–59, male2,36010.4%100-499
Ages 40–59, female2,0859.2%100-499
Ages 60 and over, male1,1505.1%100-499
Ages 60 and over, female1,0654.7%50-99

Commuting (work and study)

Commuting indicators for Nova Olinda do Norte/AM
Employed persons (aged 10 and over)7,935
Commute out to work in another municipality210
Commute in from another municipality to work here215
Net commuting+5
Out-commuting rate (%)2.64
Commuting attraction index0.998
Median commuting time150 min

Open Nova Olinda do Norte/AM 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]: Nova Olinda do Norte/AM. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-olinda-do-norte-am-1303106/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.