RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total 539 interviews with refugees and asylum seekers, and more than 210 interviews with stakeholders (state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects data derived out of 539 interviews conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Borders, Protection, Reception and Integration. This dataset is prepared as part of Work Package D3.5 (Dataset on refugee protection) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)

Abstract

This multi-country harmonized dataset concerning forcibly displaced populations (FDPs) and their host communities was produced by the World Bank’s Poverty and Equity Global Practice. It incorporates representative surveys conducted in 10 countries across five regions that hosted FDPs in the period 2015 to 2020. The goal of this harmonization exercise is to provide researchers and policymakers with a valuable input for comparative analyses of forced displacement across key developing country settings.

Geographic coverage

The datasets included in the harmonization effort cover key recent displacement contexts: the Venezuelan influx in Latin America’s Andean states; the Syrian crisis in the Mashreq; the Rohingya displacement in Bangladesh; and forcible displacement in Sub-Saharan Africa (Sahel and East Africa). The harmonization exercise encompasses 10 different surveys. These include nationally representative surveys with a separate representative stratum for displaced populations; sub-national representative surveys covering displaced populations and their host communities; and surveys designed specifically to provide insights on displacement contexts. Most of the surveys were collected between 2015 and 2020.

Analysis unit

Household

Universe

Forcibly displaced populations and their hosts communities.

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered.

Country teams conducted in total 539 interviews with refugees and asylum seekers, and more than 210 interviews with stakeholders (state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics.

This dataset is only about the micro part of the Respond research, and reflects data derived out of 539 interviews conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Border, Protection, Reception and Integration.

This dataset is prepared as part of Work Package D4.4 (Dataset on Reception) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners.

• • Uppsala University (dataset entries from Sweden)
• • Göttingen University (dataset entries from Germany)
• • Glasgow Caledonian University (dataset entries from the UK and Hungary)
• • Istanbul Bilgi University (dataset entries from Turkey)
• • University of Cambridge (dataset entries from the UK, Sweden and Germany)
• • Swedish Research Institute Istanbul (dataset entries from Turkey)
• • University of Florence (dataset entries from Italy)
• • Özyegin University (dataset entries from Turkey)
• • University of Aegean (dataset entries from Greece)
• • University of Warsaw (dataset entries from Poland)
• • Hammurabi Human Rights Organization (dataset entries from Iraq)
• • Lebanon Support (dataset entries from Lebanon)
• • Austrian Academy of Sciences (dataset entries from Austria)

RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered. Country teams conducted in total 539 interviews with refugees and asylum seekers, and more than 210 interviews with stakeholders (state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics. This dataset is only about the micro part of the Respond research, and reflects data derived out of 539 interviews conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form This dataset is prepared as part of Work Package D2.6 (Dataset on border experiences) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners. • Uppsala University (dataset entries from Sweden) • Göttingen University (dataset entries from Germany) • Glasgow Caledonian University (dataset entries from the UK and Hungary) • Istanbul Bilgi University (dataset entries from Turkey) • University of Cambridge (dataset entries from the UK, Sweden and Germany) • Swedish Research Institute Istanbul (dataset entries from Turkey) • University of Florence (dataset entries from Italy) • Özyegin University (dataset entries from Turkey) • University of Aegean (dataset entries from Greece) • University of Warsaw (dataset entries from Poland) • Hammurabi Human Rights Organization (dataset entries from Iraq) • Lebanon Support (dataset entries from Lebanon) • Austrian Academy of Sciences (dataset entries from Austria)

this graph was created in R:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fc3cb7f2679c1878d969c59cae6c2add8%2Fgraph1.png?generation=1718485702995950&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F105fbad8ac1c22cf9c99db9abe4b5e8f%2Fgraph2.png?generation=1718485708327395&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F16f4d8e38b98e38536a0040c000fdf3f%2Fgraph3.png?generation=1718485713357616&alt=media" alt="">

Hundreds of millions of people live in a country that is different from the one in which they were born. In some countries, the majority of the population are immigrants.

Migration has played a crucial role in economic development, education and mobility. The transfer of money from migrants working overseas to family or friends in their home country – remittances – can be an important source of income in many countries.

On this page you can find all our data and visualizations relating to migration.

The estimates of the number (or “stock”) of international migrants disaggregated by age, sex and country or area of origin are based on national statistics, in most cases obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.

The dataset presents estimates of international migrant by age, sex and origin. Estimates are presented for 1990, 1995, 2000, 2005, 2010, 2015 and 2020 and are available for 232 countries and areas of the world. The estimates are based on official statistics on the foreign-born or the foreign population.

Abstract

It is increasingly recognised that the majority of the world's refugees reside not in camps, but dispersed amongst the community in the countries where they have sought asylum. This is the case for Syrian refugees in Jordan, of which 84% live outside official refugee camps in urban and rural areas across the country. Understanding the needs, vulnerabilities and capacities of this dispersed refugee population is vital to ensuring their protection and access to services. The purpose of this dataset is to examine the situation of Syrian refugees living outside camps in Jordan, based on data collected through UNHCR's Home Visits programme. Under this programme, interviews are conducted with every refugee household registering with UNHCR outside camps. This provides an unparalleled source of information about the situation of Syrian refugees in non-camp settings.

Geographic coverage

Urban areas at National Coverage

Analysis unit

Household and individual

Kind of data

Sample survey data [ssd]

Sampling procedure

This study is not based on random sampling. The Home Visits survey is an ongoing assessment which aims to interview every refugee household registered with UNHCR outside camps. The survey went through many different versions which included major changes in variables and sections content, for this reason it is not possible to fully compare the different versions with each other. Whenever possible, though, the various dataset versions have been harmonized so that variables containing the same kind of information were renamed with the same name. You can see all the versions available in the Microdata Library in the “Related studies” tab.

Mode of data collection

Face-to-face [f2f]

The study of the patterns and evolution of international migration often requires high-frequency data on migration flows on a global scale. However, the presently existing databases force a researcher to choose between the frequency of the data and its geographical scale. Yearly data exist but only for a small subset of countries, while most others are only covered every 5 to 10 years. To fill in the gaps in the coverage, the vast majority of databases use some imputation method. Gaps in the stock of migrants are often filled by combining information on migrants based on their country of birth with data based on nationality or using ‘model’ countries and propensity methods. Gaps in the data on the flow of migrants, on the other hand, are often filled by taking the difference in the stock, which the ’demographic accounting’ methods then adjust for demographic evolutions.

This database aims to fill this gap by providing a global, yearly, bilateral database on the stock of migrants according to their country of birth. This database contains close to 2.9 million observations on over 56,000 country pairs from 1960 to 2020, a tenfold increase relative to the second-largest database. In addition, it also produces an estimate of the net flow of migrants. For a subset of countries –over 8,000 country pairs and half a million observations– we also have lower-bound estimates of the gross in- and outflow.

This database was constructed using a novel approach to estimating the most likely values of missing migration stocks and flows. Specifically, we use a Bayesian state-space model to combine the information from multiple datasets on both stocks and flows into a single estimate. Like the demographic accounting technique, the state-space model is built on the demographic relationship between migrant stocks, flows, births and deaths. The most crucial difference is that the state-space model combines the information from multiple databases, including those covering migrant stocks, net flows, and gross flows.

More details on the construction can currently be found in the UNU-CRIS working paper: Standaert, Samuel and Rayp, Glenn (2022) "Where Did They Come From, Where Did They Go? Bridging the Gaps in Migration Data" UNU-CRIS working paper 22.04. Bruges.

https://cris.unu.edu/where-did-they-come-where-did-they-go-bridging-gaps-migration-data

Temporary residents in the humanitarian population who request refugee protection upon or after arrival in Canada. This data should not be used as an indication of the number of asylum claimants residing in a province or territory. The table pulls data on number of asylum claimants who have submit a valid claim by year and province of claim. The data set may include individuals who have claimed asylum and since obtained a referral to the IRB, individuals who have been determined to be protected persons by IRPA, as well as those who may have since become a permanent resident may still be included in the claimant count in the year in which their asylum claim was made. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.

Abstract

It is increasingly recognised that the majority of the world's refugees reside not in camps, but dispersed amongst the community in the countries where they have sought asylum. This is the case for Syrian refugees in Jordan, of which 84% live outside official refugee camps in urban and rural areas across the country. Understanding the needs, vulnerabilities and capacities of this dispersed refugee population is vital to ensuring their protection and access to services. The purpose of this dataset is to examine the situation of Syrian refugees living outside camps in Jordan, based on data collected through UNHCR's Home Visits programme. Under this programme, interviews are conducted with every refugee household registering with UNHCR outside camps. This provides an unparalleled source of information about the situation of Syrian refugees in non-camp settings.

Geographic coverage

Urban areas at National Coverage

Analysis unit

Household and individual

Sampling procedure

This study is not based on random sampling. The Home Visits survey is an ongoing assessment which aims to interview every refugee household registered with UNHCR outside camps. The survey went through many different versions which included major changes in variables and sections content, for this reason it is not possible to fully compare the different versions with each other. Whenever possible, though, the various dataset versions have been harmonized so that variables containing the same kind of information were renamed with the same name. You can see all the versions available in the Microdata Library in the “Related studies” tab.

Mode of data collection

Face-to-face [f2f]

The estimates of the number (or “stock”) of international migrants disaggregated by age, sex and country or area of origin are based on national statistics, in most cases obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants.

The dataset presents estimates of international migrant by age, sex and origin. Estimates are presented for 1990, 1995, 2000, 2005, 2010, 2015 and 2020 and are available for 232 countries and areas of the world. The estimates are based on official statistics on the foreign-born or the foreign population.

1 For statistical purposes, the foreign-born population includes persons born in Regions of Metropolitan France and in French Guiana, French Polynesia, Guadeloupe, Martinique, New Caledonia, Réunion, Saint Pierre and Miquelon, Saint Barthélemy, Saint Martin (French part), and Wallis and Futuna Islands.
2 For statistical purposes, the foreign-born population includes persons born in Regions of Metropolitan France and in French Guiana, French Polynesia, Guadeloupe, Martinique, Mayotte, New Caledonia, Saint Pierre and Miquelon, Saint Barthélemy, Saint Martin (French part), and Wallis and Futuna Islands.
3 The estimates for 1990 to 2005 refer to Sudan and South Sudan.
4 For statistical purposes, the foreign-born population includes persons born in United Kingdom, Anguilla, Bermuda, British Virgin Islands, Cayman Islands, Channel Islands, Falkland Islands (Malvinas), Gibraltar, Isle of Man, Montserrat, and Turks and Caicos Islands.
5 Including East Jerusalem. Refugees are not part of the foreign-born migrant stock in the State of Palestine.
6 For statistical purposes, the foreign-born population includes persons born in United Kingdom, Anguilla, Bermuda, British Virgin Islands, Cayman Islands, Falkland Islands (Malvinas), Gibraltar, Isle of Man, Montserrat, Saint Helena, and Turks and Caicos Islands.
7 For statistical purposes, the foreign-born population includes persons born in Faroe Islands, and Greenland.
8 For statistical purposes, the foreign-born population includes persons born in Denmark and Greenland.
9 For statistical purposes, the foreign-born population includes persons born in United Kingdom, Anguilla, Bermuda, British Virgin Islands, Cayman Islands, Channel Islands, Falkland Islands (Malvinas), Gibraltar, Montserrat, Saint Helena, and Turks and Caicos Islands.
10 For statistical purposes, the foreign-born population includes persons born in Anguilla, Bermuda, British Virgin Islands, Cayman Islands, Channel Islands, Falkland Islands (Malvinas), Gibraltar, Isle of Man, Montserrat, Saint Helena, and Turks and Caicos Islands.
11 For statistical purposes, the foreign-born population includes persons born in United Kingdom, Anguilla, Bermuda, British Virgin Islands, Cayman Islands, Channel Islands, Falkland Islands (Malvinas), Isle of Man, Montserrat, Saint Helena, and Turks and Caicos Islands.
12 For statistical purposes, the foreign-born population includes persons born in French Guiana, French Polynesia, Guadeloupe, Martinique, Mayotte, New Caledonia, Réunion, Saint Pierre and Miquelon, Saint Barthélemy, Saint Martin (French part), and Wallis and Futuna Islands.
13 For statistical purposes, the foreign-born population includes persons born in Aruba, Bonaire, Sint Eustatius and Saba, Curaçao, and Sint Maarten (Dutch part).
14 For statistical purposes, the foreign-born population includes persons born in United Kingdom, Bermuda, British Virgin Islands, Cayman Islands, Channel Islands, Falkland Islands (Malvinas), Gibraltar, Isle of Man, Montserrat, Saint Helena, and Turks and Caicos Islands.
15 For statistical purposes, the foreign-born population includes persons born in the Netherlands, Bonaire, Sint Eustatius and Saba, Curaçao, and Sint Maarten (Dutch part).
16 The estimates of migrant stock for 1990 to 2000 refer to the former Netherlands Antilles. The estimates of the migrant stock for 2005 refer to the former Netherlands Antilles without Sint Maarten (Dutch part).
17 For statistical purposes, the foreign-born population includes persons born in the Netherlands, Aruba, Sint Eustatius and Saba, Curaçao, and Sint Maarten (Dutch part).
18 For statistical purposes, the foreign-born population includes persons born in United Kingdom, Anguilla, Bermuda, Cayman Islands, Channel Islands, Falkland Islands (Malvinas), Gibraltar, Isle of Man, Montserrat, Saint Helena, and Turks and Caicos Islands.
19 For statistical purposes, the foreign-bor...

The Politbarometer has been conducted since 1977 on an almost monthly basis by the Research Group for Elections (Forschungsgruppe Wahlen) for the Second German Television (ZDF). Since 1990, this database has also been available for the new German states. The survey focuses on the opinions and attitudes of the voting population in the Federal Republic on current political topics, parties, politicians, and voting behavior. From 1990 to 1995 and from 1999 onward, the Politbarometer surveys were conducted separately in the eastern and western federal states (Politbarometer East and Politbarometer West). The separate monthly surveys of a year are integrated into a cumulative data set that includes all surveys of a year and all variables of the respective year. The Politbarometer short surveys, collected with varying frequency throughout the year, are integrated into the annual cumulation starting from 2003.

If you were to leave your home country, how far would you go, and for what reason? Just over the nearest border? Across an ocean? Or to the other side of the world?

People often equate international migration with long journeys. But most migrants actually travel shorter distances, as you might expect if you put yourself into their situation.

Understanding migration patterns helps governments around the world plan for population and economic changes.

This article addresses a simple but important question: how far do international migrants usually move from their home countries?

But before we look at how far migrants travel, it’s useful to keep in mind that most people don’t move to a different country. 96% of the world’s population lives in the country where they were born. That means the people we’ll focus on here are a small fraction of the global population.

Two examples: Syria and Venezuela Syria and Venezuela are two recent examples of countries with large-scale emigration, but for very different reasons — one caused by war, the other by economic collapse and political instability.

Since the start of its civil war in 2011, Syria has become a well-known case of large-scale emigration. By 2020, nearly half (48%) of all Syrian-born people — about 8.5 million — had left the country.

While we don’t have precise data on how far each migrant traveled, we do have reliable estimates of the countries they moved to. This data is published by the United Nations Department of Economic and Social Affairs.

As you can see on the chart, most Syrian emigrants have stayed close to home. The chart below shows Turkey, Lebanon, and Saudi Arabia as the top destinations, with Turkey alone hosting nearly 40% of them. Overall, a large majority of Syrian emigrants — 80% — have remained within Asia.

Migration in India report was published for the first time along with annual PLFS exercise to provide details with respect to migrants in the country. The report covers the period from July to June 2020-2021. Migrants have been defined as those whose last usual place of residence is different from the present place of enumeration. Usual place of residence is the place (village/town) where the person stayed continuously for a period of 6 months or more or intends to stay for 6 months or more. The percentage distribution of migrants by reasons for migration has been compiled in this dataset.

Nine years into the Syria conflict, Lebanon remains at the forefront of one of the worst humanitarian crises. The economic downturn, steep inflation, COVID-19 and finally the Beirut blast have pushed vulnerable communities in Lebanon - including Syrian refugees - to the brink, with thousands of families sinking further into poverty.

The Government of Lebanon (GoL) estimates that the country hosts 1.5 million1 of the 6.6 million Syrians who have fled the conflict since 2011 (including 879,529 registered with UNHCR as of end of September 2020 ). The Syrian refugee population in Lebanon remains one of the largest concentration of refugees per capita in the world.

The 2020 Vulnerability Assessment of Syrian Refugees in Lebanon (VASyR) was the eighth annual survey assessing the situation of Syrian refugees in Lebanon to identify changes and trends in their vulnerabilities. Given the COVID-19 pandemic in Lebanon, most assessments and other activities requiring in person visits were either cancelled or postponed. Considering the prolonged socio-economic status in Lebanon and COVID-19, it was crucial to provide needs-based estimates on Syrian refugees in the country. Thus, the VASyR 2020 was one of the few assessments that were conducted face-to-face; the implementation was accompanied by a comprehensive protocol to ensure the safety of families and field workers. The criticality of conducting the VASyR 2020 was to provide insights about Syrian refugees impacted by the political and economic crisis that hit Lebanon in late 2019 and by the COVID-19 outbreak.

People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.

In December 2019, a novel coronavirus emerged in Wuhan, China, rapidly spreading into a global pandemic. Italy was the first European country to experience SARS-CoV-2 epidemic, and one of the most severely affected during the first wave of diffusion. In contrast to the general restriction of people movements in Europe, the number of migrants arriving at Italian borders via the Mediterranean Sea route in the summer of 2020 had increased dramatically, representing a possible, uncontrolled source for the introduction of novel SARS-CoV-2 variants. Importantly, most of the migrants came from African countries showing limited SARS-CoV-2 epidemiological surveillance. In this study, we characterized the SARS-CoV-2 genome isolated from an asymptomatic migrant arrived in Sardinia via the Mediterranean route in September 2020, in comparison with SARS-CoV-2 isolates arrived in Sicily through the Libyan migration route; with SARS-CoV-2 isolates circulating in Sardinia during 2020; and with viral genomes reported in African countries during the same summer. Results showed that our sequence is not phylogenetically related to isolates from migrants arriving in Sicily, nor to isolates circulating in Sardinia territory, having greater similarity to SARS-CoV-2 genomes reported in countries known for being sites of migrant embarkation to Italy. This is in line with the hypothesis that most SARS-CoV-2 infections among migrants have been acquired prior to embarking to Italy, possibly during the travel to or the stay in crowded Libyan immigrant camps. Overall, these observations underline the importance of dedicated SARS-CoV-2 surveillance of migrants arriving in Italy and in Europe through the Mediterranean routes.

Abstract

Until May 2021 all registered refugees in Rwanda received food assistance. Against the background of ever-limited resources and recognizing that the refugee population is not homogeneously vulnerable, in mid-2021 WFP and UNHCR initiated the shift to the targeted provision of food assistance based on needs. A targeting strategy – developed by UNHCR and WFP with support from the Joint UNHCR-WFP Programme Excellence and Targeting Hub - was formulated with the following objectives: - Identify vulnerable refugee households in need of humanitarian assistance and less vulnerable refugees with higher livelihood resilience who would benefit from livelihoods support; - Ensure the greatest protection outcomes through strong community participation, communications with refugee communities and risk analysis to inform the approach. This second JPDM has served to ensure that the corporate practice of post-distribution monitoring is fulfilled. Additionally, it assessed the extent to which the targeting approach has – over a period of five months between May and September 2021 – achieved the above objectives. Overall vulnerability among refugee households – defined by livelihood resilience, economic capacity and food access - reduced over a period of nine months between December 2020 and September 2021

Geographic coverage

Six refugee camps across the country: Kigeme, Gihembe, Kiziba, Mahama, Mugombwa and Nyabiheke

Analysis unit

Households

Universe

All registered refugees in UNHCR register server, ProGres, in Rwanda.

Kind of data

Sample survey data [ssd]

Sampling procedure

In line with the sampling strategy of the first JPDM in December 2020, the second JPDM aimed to provide statistically representative data and analysis on camp level for all six camps in Rwanda. In addition, to better understand the vulnerability status of households receiving various assistance since the targeting started, the sampling of the 2nd JPDM was also designed to be representative at the assistance group level. Same as the first JPDM, the assessment team used the total number of ProGres Groups by the time the survey was designed (August 2021) as the most reliable proxy to the total number of households, hence the sample frame. The sample size was planned to reach (a minimum of) 2,400 households in total with 95% confidence level and 5% margin error while factoring a 15% non-response rate. The distribution of the households by camp and by eligibility group was proportional to the distribution of number of the total population in each stratification. a household panel study A panel component was incorporated in the 2nd JPDM. By sampling the households who were surveyed in the December’s 2020 JPDM and comparing their performances in key outcome indicators through a longitudinal analysis over a period of 5 months (May 2021 – September 2021). The assessment sheds light on the effectiveness of the targeting as other factors that may confound the interpretation of targeting impact such as refugees mobility, are controlled. Among the sampled households of December 2020, those who remain registered/trackable in the camp and at the same time, have held the same eligibility group status since targeting started were sampled for the survey. In other words, among the total sample, the panel households were interviewed and the additional number of households needed to reach the overall sample plan was added from random sampling from ProGres

Mode of data collection

Face-to-face [f2f]

The Migrant Integration Policy Index (MIPEX) is a unique tool which measures policies to integrate migrants in countries across fifty six continents, including all EU Member States (including the UK), other European countries (Albania, Iceland, North Macedonia, Moldova, Norway, Serbia, Switzerland, Russia, Turkey and Ukraine), Asian countries (China, India, Indonesia, Israel, Japan, Jordan, Saudi Arabia, South Korea, United Arab Emirates), North American countries (Canada, Mexico and US), South American countries (Argentina, Brazil, Chile), South Africa, and Australia and New Zealand in Oceania. Policy indicators have been developed to create a rich, multi-dimensional picture of migrants’ opportunities to participate in society. In the fifth edition (MIPEX 2020), a core set of indicators were created and updated for the period 2014-2019. MIPEX now covers the period 2007-2019 and is being updated to cover the 2020-2023 period. The index is a useful tool to evaluate and compare what governments are doing to promote the integration of migrants in all the countries analysed. MIPEX scores are based on a set of indicators covering eight policy areas that has been designed to benchmark current laws and policies against the highest standards through consultations with top scholars and institutions using and conducting comparative research in their area of expertise. The policy areas of integration covered by the MIPEX are the following: Labour market mobility; Family reunification; Education; Political participation; Permanent residence; Access to nationality; Anti-discrimination; and Health.

The size of the outflows from Venezuela sharply increased from some 700,000 in 2015 to over 4 million by June 2019, largely driven by a substantial deterioration of the situation in the country. Given the disruption of the functioning of some democratic institutions and rule of law, and its impact on the preservation of security, economic stability, health, public peace and the general welfare system, the crisis continues to worsen and serious human rights violations are widely reported. The displacement outside Venezuela has mostly affected countries in Latin America and the Caribbean, particularly Argentina, Brazil, Chile, Colombia, Ecuador, Peru, and the southern Caribbean islands. Most governments in the region have made efforts to facilitate access to territory, documentation and access to services, but the capacity of host countries has become overstretched to address the increasing protection and integration needs, resulting in tighter border controls being put in place. Protection monitoring is a core UNHCR activity which aims at ensuring an adequate and timely understanding of the protection situation of persons affected by forced displacement. The action-oriented nature of protection monitoring allows UNHCR to adapt to the needs and protection risks faced by persons displaced outside Venezuela and informs a broad range of responses.