Philippines Unemployed: Grade Completed: High School: Senior data was reported at 267.000 Person th in Jan 2025. This records an increase from the previous number of 256.000 Person th for Oct 2024. Philippines Unemployed: Grade Completed: High School: Senior data is updated quarterly, averaging 242.000 Person th from Jan 2021 (Median) to Jan 2025, with 17 observations. The data reached an all-time high of 343.000 Person th in Jul 2024 and a record low of 215.000 Person th in Jul 2023. Philippines Unemployed: Grade Completed: High School: Senior data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G033: Labour Force Survey: Unemployment: by Region, Age and Class: Quarterly.

Philippines Unemployed: Grade Completed: High School: Graduate data was reported at 762.000 Person th in Jul 2018. This records an increase from the previous number of 725.000 Person th for Apr 2018. Philippines Unemployed: Grade Completed: High School: Graduate data is updated quarterly, averaging 914.000 Person th from Jul 2003 (Median) to Jul 2018, with 61 observations. The data reached an all-time high of 1,348.000 Person th in Apr 2004 and a record low of 658.000 Person th in Oct 2017. Philippines Unemployed: Grade Completed: High School: Graduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G015: Labour Force Survey: Unemployment: by Region, Age and Class.

Philippines Unemployment: Grade Completed: Senior High School: Graduate data was reported at 242.000 Person th in Feb 2025. This records an increase from the previous number of 237.000 Person th for Jan 2025. Philippines Unemployment: Grade Completed: Senior High School: Graduate data is updated monthly, averaging 190.000 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 292.000 Person th in Jul 2024 and a record low of 107.000 Person th in Jun 2024. Philippines Unemployment: Grade Completed: Senior High School: Graduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G032: Labour Force Survey: Unemployment: by Age and Class.

The High School Longitudinal Study of 2009 (HSLS:09) is nationally representative, longitudinal study of 9th graders who were followed through their secondary and postsecondary years, with an emphasis on understanding students' trajectories from the beginning of high school into postsecondary education, the workforce, and beyond. What students decide to pursue when, why, and how are crucial questions for HSLS:09. The HSLS:09 focuses on answering the following questions: How do parents, teachers, counselors, and students construct choice sets for students, and how are these related to students' characteristics, attitudes, and behavior? How do students select among secondary school courses, postsecondary institutions, and possible careers? How do parents and students plan financing for postsecondary experiences? What sources inform these plans? What factors influence students' decisions about taking STEM courses and following through with STEM college majors? Why are some students underrepresented in STEM courses and college majors? How students' plans vary over the course of high school and how decisions in 9th grade impact students' high school trajectories. When students are followed up in the spring of 11th grade and later, their planning and decision-making in 9th grade may be linked to subsequent behavior. This data collection also provides data for some arts-related topics, including the following: student participation in outside of schools arts activities; credit hours of arts classes taken; GPA from arts classes; and parent-led arts experiences. For the public-use file, a total of 23,503 students responded from over 900 high schools both public and private.

Philippines Unemployment: Grade Completed: Senior High School: Undergraduate data was reported at 20.000 Person th in Feb 2025. This records a decrease from the previous number of 30.000 Person th for Jan 2025. Philippines Unemployment: Grade Completed: Senior High School: Undergraduate data is updated monthly, averaging 33.500 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 77.000 Person th in Feb 2022 and a record low of 6.000 Person th in Dec 2023. Philippines Unemployment: Grade Completed: Senior High School: Undergraduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G032: Labour Force Survey: Unemployment: by Age and Class.

Abstract

The 2008 Annual Poverty Indicators Survey (APIS) is conducted by the National Statistics Office (NSO) as a rider to the July 2008 Labor Force Survey (LFS). The 2008 APIS is the sixth in the series of annual poverty indicators surveys conducted nationwide. Since 1998, APIS has been conducted during the years when the Family Income and Expenditures Survey (FIES) is not conducted, except in 2001 and 2005 due to budgetary constraints.

The APIS is a nationwide survey designed to provide non-income indicators related to poverty at the national and regional levels. It is designed to gather data on the socio-economic profile of families and other information that are related to their living conditions. Specifically, it generates indicators which are correlated with poverty, such as indicators regarding the ownership or possession of house and lot, the types of the materials of the roofs and walls of their housing units, their access to safe water, the types of toilet facility they use in their homes, and presence of family members of specified characteristics such as children 6-12 years old enrolled in elementary, children 13-16 years old enrolled in high school, members 18 years old and over gainfully employed, working children 5-17 years old and family members with membership in any health, life and/or pre-need insurance system.

The APIS is being undertaken by the National Statistics Office as mandataed by Commonwealth Act 591 which authorizes the then Bureau of the Census and Statistics, now NSO, "to conduct by enumeration, sampling or other methods, for statistical purposes, studies of the social and economic situation of the country" and in consonance with the provision of Executive Order 121 which designated the office as the "major statistical agency responsible for generating general purpose statistics.

Geographic coverage

National Coverage Seventeen (17) Administrative Regions: National Capital Region (NCR) Cordillera Administrative Region (CAR) I - Ilocos II - Cagayan Valley III - Central Luzon IVA - CALABARZON IVB - MIMAROPA V - Bicol VI - Western Visayas VII - Central Visayas VIII - Eastern Visayas IX - Zamboanga Peninsula X - Northern Mindanao XI - Davao XII - SOCCSKSARGEN XIII - Caraga Autonomous Region in Muslim Mindanao (ARMM)

Analysis unit

Households

Universe

The survey covered all households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The 2008 APIS is a sample survey designed to provide data representative of the country and its 17 administrative regions. The survey's sample design helps ensure this representativeness. The 2008 APIS used the 2003 master sample created for household surveys on the basis of the 2000 Census of Population and Housing (CPH) results. The survey used four replicates of the master sample. For each region (domain) and stratum, a three-stage sampling scheme was used: the selection of primary sampling units (PSUs) for the first stage, of sample enumeration areas (EAs) for the second stage, and of sample housing units for the third stage. PSUs within a region were stratified based on the proportion of households living in housing units made of strong materials, proportion of households in the barangay engaged in agricultural activities and per capita income of the city/municipality.

As earlier mentioned, a three-stage sampling design was used in each stratum within a region. In the first stage, primary sampling units (PSUs) were selected with probability proportional to the number of households in the 2000 Census. PSUs consisted of a barangay or a group of contiguous barangays. In the second stage, in each sampled PSU, EAs were selected with probability proportional to the number of households in the 2000 Census. An EA is defined as an area with discernable boundaries consisting of approximately 350 contiguous households. In the third stage, from each sampled EA, housing units were selected using systematic sampling. For operational considerations, at most 30 housing units were selected per sample EA. All households in sample housing units were interviewed except for sample housing units with more than three households. In such a housing unit, three households were randomly selected with equal probability.

The 2008 APIS was conducted simultaneously with the July 2008 Labor Force Survey (LFS). All sample households of the July 2008 LFS were interviewed for the 2008 APIS. Only household members related to the household head by blood, marriage or adoption were considered as members of the sample household in APIS. Family members of the household head who are working abroad were excluded.

Sampling deviation

NA

Mode of data collection

Face-to-face [f2f]

Research instrument

Although questions on 'Changes in Welfare' were dropped and some items were modified for the 2008 APIS, most of the questions/items in the previous APISs were retained as requested by data users. Nine items were added in order to generate data that will be more useful in assessing the poverty situation in the country. The new questionnaire for the 2008 contains the abridged version of the module on entrepreneurial activities resulting to the reduction of the number of pages from 24 to 12. The decision to use the abridged version was based on the results of the study entitled “Redesigning APIS as a Poverty Monitoring Tool” undertaken by the Demographic and Social Statistics Division in 2006. The redesigned questionnaire produced results which are not statistically different from results based on the original design in 2004. The use of the redesigned questionnaire is also cost-efficient.

A round table discussion was held for the 2008 APIS before the conduct of the pretest. The redesigned APIS questionnaire based from the project's output was presented. It was agreed upon during this meeting to adopt the redesigned APIS for this round of APIS, with the addition of item on 'Hunger'.

Cleaning operations

Flow of Processing Activity

In order to implement a systematic flow of the processing activities and reduce the movement of questionnaires from one employee to another, the same processor performed the following specific activities for the same folio. 1. General screening; 2. Editing and coding of APIS questionnaires and computations of totals ; and 3. General review of edited APIS questionnaire.

Folioing

To facilitate handling during manual and machine processing, APIS questionnaires were folioed in the Provincial Office before the start of manual processing.

The APIS questionnaires for one sample barangay/EA contained in the folio was arranged consecutively according to the sample housing serial number (SHSN) from lowest to highest.

General Screening

General screening was done by going over the submitted accomplished questionnaires and checking for the completeness of the geographic identification and other information called for in the cover page.

General screening for APIS questionnaires was done to ensure that the geographic and household identification and the entire sample households are the same with the MS Form 6.

General Instructions on Manual Processing

The following instructions was observed in manual processing.

1. Prior to editing and coding of items, the questionnaires were checked if they were properly folioed. Folioing was done in the province. Regional Offices checked if folioing was done properly by the Provincial Offices.

2. All questionnaires for one folio was assigned to only one editor/coder, unless otherwise necessary (e.g., when the one who is processing a folio is absent for more than a day).

3. In general, the editors assumed that the original entries are correct. Editing was done only when an entry is obviously incorrect. A doubtful or inconsistent item was verified in the field.

Response rate

Of the 43,020 eligible sample households for the 2008 APIS, 40,613 were successfully interviewed. This translated to a response rate of 94.4 percent at the national level. Households which were not interviewed either refused to be interviewed or were not available or were away during the enumeration period.

Sampling error estimates

Sampling errors have been calculated for the following variables: 1) Percentage of Families with Own or Ownerlike Possession of House and Lot they Occupy 2) Percentage of Families Living in Houses with Roof Made of Strong Materials 3) Percentage of Families Living in Houses with Outer Walls Made of Strong Materials 4) Percentage of Families with Electricity in the Building/House They Reside in 5) Percentage of Families with Access to Safe Water Supply 6) Percentage of Families with Sanitary Toilet 7) Percentage of Families with Children 6-12 Years Old in Elementary Grades 8) Percentage of Families with Children 13-16 Years Old in High School 9) Percentage of Families with Members 18 Years Old and Over Gainfully Employed 10) Percentage of Families with Working Children 5-17 Years Old 11) Average Family Income 12) Average Family Expenditure

Data appraisal

A series of data quality tables were generated to review the quality of the data and include the following: - Age distribution of the household population - Highest grade completed versus current grade - Highest grade completed versus age - Current grade versus age - Reason for not attending school versus highest grade completed - Reason for not attending school versus current grade - Marital status versus age - Consistency of income vs. expenditure

Philippines Unemployment: Grade Completed: Senior High School data was reported at 262.000 Person th in Feb 2025. This records a decrease from the previous number of 267.000 Person th for Jan 2025. Philippines Unemployment: Grade Completed: Senior High School data is updated monthly, averaging 228.000 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 343.000 Person th in Jul 2024 and a record low of 120.000 Person th in Dec 2023. Philippines Unemployment: Grade Completed: Senior High School data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G032: Labour Force Survey: Unemployment: by Age and Class.

The 2020-2021 School Learning Modalities dataset provides weekly estimates of school learning modality (including in-person, remote, or hybrid learning) for U.S. K-12 public and independent charter school districts for the 2020-2021 school year, from August 2020 – June 2021.

These data were modeled using multiple sources of input data (see below) to infer the most likely learning modality of a school district for a given week. These data should be considered district-level estimates and may not always reflect true learning modality, particularly for districts in which data are unavailable. If a district reports multiple modality types within the same week, the modality offered for the majority of those days is reflected in the weekly estimate. All school district metadata are sourced from the https://nces.ed.gov/ccd/files.asp#Fiscal:2,LevelId:5,SchoolYearId:35,Page:1">National Center for Educational Statistics (NCES) for 2020-2021.

School learning modality types are defined as follows:

• In-Person: All schools within the district offer face-to-face instruction 5 days per week to all students at all available grade levels.
• Remote: Schools within the district do not offer face-to-face instruction; all learning is conducted online/remotely to all students at all available grade levels.
• Hybrid: Schools within the district offer a combination of in-person and remote learning; face-to-face instruction is offered less than 5 days per week, or only to a subset of students.

Data Information

• School learning modality data provided here are model estimates using combined input data and are not guaranteed to be 100% accurate. This learning modality dataset was generated by combining data from four different sources: Burbio [1], MCH Strategic Data [2], the AEI/Return to Learn Tracker [3], and state dashboards [4-20]. These data were combined using a Hidden Markov model which infers the sequence of learning modalities (In-Person, Hybrid, or Remote) for each district that is most likely to produce the modalities reported by these sources. This model was trained using data from the 2020-2021 school year. Metadata describing the location, number of schools and number of students in each district comes from NCES [21].
• You can read more about the model in the CDC MMWR: https://www.cdc.gov/mmwr/volumes/70/wr/mm7039e2.htm" target="_blank">COVID-19–Related School Closures and Learning Modality Changes — United States, August 1–September 17, 2021.
• The metrics listed for each school learning modality reflect totals by district and the number of enrolled students per district for which data are available. School districts represented here exclude private schools and include the following NCES subtypes:
  • Public school district that is NOT a component of a supervisory union
  • Public school district that is a component of a supervisory union
  • Independent charter district
• “BI” in the state column refers to school districts funded by the Bureau of Indian Education.

Technical Notes

• Data from September 1, 2020 to June 25, 2021 correspond to the 2020-2021 school year. During this timeframe, all four sources of data were available. Inferred modalities with a probability below 0.75 were deemed inconclusive and were omitted.
• Data for the month of July may show “In Person” status although most school districts are effectively closed during this time for summer break. Users may wish to exclude July data from use for this reason where applicable.

Sources

1. K-12 School Opening Tracker. Burbio 2021; https://cai.burbio.com/school-opening-tracker/. June 2021.
2. COVID-19 IMPACT: School District Operational Status. MCH Strategic Data: 2021; https://www.mchdata.com/covid19/schoolclosings. (30 June 2021, date last accessed).
3. Return to Learn Tracker. American Enterprise Institute 2021; https://www.returntolearntracker.net/. (30 June 2021, date last accessed).
4. Colorado School District Reopening Plans. Colorado Department of Education 2021; https://docs.google.com/spreadsheets/d/e/2PACX-1vQipdjO8QWhilhhJ4bX0FBebnHEzK1G3LEDQbE_S-xRvs2t0oHNm--acHwMRFmL9uKw4cXcOUqy1V66/pubhtml. (30 June 2021, date last accessed).
5. Connecticut Report Cards. Connecticut State Department of Education 2021; http://edsight.ct.gov/SASPortal/main.do. (30 June 2021, date last accessed).
6. COVID Planning Tool. Hawaii Department of Education 2021; https://public.tableau.com/views/COVIDPlanningTool-Embed700px/SimpleDashboard. (30 June 2021, date last accessed).
7. Idaho School District Status. Idaho State Department of Education 2021; https://ioem.maps.arcgis.com/apps/opsdashboard/index.html#/379299e56f234fa89cff3c8c6acf3ac8. (30 June 2021, date last accessed).
8. How Illinois Districts Are Providing Instruction: Virtual, In-Person, and Blended Learning. Illinois State Board of Education 2021; https://isp.maps.arcgis.com/apps/opsdashboard/index.html#/fceeacb37da04de4b237ed941dd7d5c4. (30 June 2021, date last accessed).
9. Digital Learning Model Schools. Louisiana Department of Education 2021; https://analytics.la.gov/t/DOE/views/DigitalLearningModel/SchoolLevelModeofLearning. (30 June 2021, date last accessed).
10. Safe Learning Model Dashboard. Minnesota Department of Education 2021; https://analytics.education.state.mn.us/t/MDEPublic/views/MN_Safe_Learning_Model/Dashboard. (30 June 2021, date last accessed).
11. Coronavirus (COVID-19) information. Missouri Department of Elementary & Secondary Education 2021; https://dese.mo.gov/communications/coronavirus-covid-19-information. (30 June 2021, date last accessed).
12. North Carolina School Dashboard. North Carolina Department of Public Instruction 2021. https://docs.google.com/spreadsheets/d/1We8gDpa4Do5NR83Nf8niGE_YxzLDf-KZh-tVWifStxE/edit#gid=0. (30 June 2021, date last accessed).
13. Ring the Bell: Return to In-Person Learning. New Mexico Public Education Department 2021; https://webnew.ped.state.nm.us/reentry-district-and-school-guidance/. (30 June 2021, date last accessed).
14. Reset and Restart Education. Ohio Department of Education 2021; http://education.ohio.gov/Topics/Reset-and-Restart. (30 June 2021, date last accessed).
15. 2020-21 School Status. Oregon Department of Education 2021; https://www.oregon.gov/ode/students-and-family/healthsafety/Pages/2020-21-School-Status.aspx. (30 June 2021, date last accessed).
16. Current Operational Status. South Carolina Department of Education 2021; https://ed.sc.gov/districts-schools/schools/district-and-school-closures/operational-status/#blk2102. (30 June 2021, date last accessed).
17. Tennessee Department of Education COVID-19 District Information. Tennessee Department of Education 2021; https://districtinformation.tnedu.gov/covid-information/search/-1. (30 June 2021, date last accessed).
18. State Snapshot: Virginia School Operational Status. Virginia Department of Education 2021; https://www.doe.virginia.gov/support/health_medical/office/reopen-status.shtml. (30 June 2021, date last accessed).
19. Current Reopening Status of Vermont's K-12 Public Schools. Vermont Department of Financial Regulation 2021; https://dfr.vermont.gov/about-us/covid-19/school-reopening#public-school. (30 June 2021, date last accessed).
20. School Reopening Data. Washington Office of Superintendent of Public Instruction 2021; https://www.k12.wa.us/about-ospi/press-releases/novel-coronavirus-covid-19-guidance-resources/school-reopening-data. (30 June 2021, date last accessed).
21. Public school districts. National Center for Education Statistics 2021; https://nces.ed.gov/ccd/districtsearch/. (30 June 2021, date last accessed).

Philippines Unemployment: Grade Completed: Junior High School: Undergraduate data was reported at 141.000 Person th in Feb 2025. This records a decrease from the previous number of 175.000 Person th for Jan 2025. Philippines Unemployment: Grade Completed: Junior High School: Undergraduate data is updated monthly, averaging 218.500 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 544.000 Person th in Sep 2021 and a record low of 96.000 Person th in Dec 2024. Philippines Unemployment: Grade Completed: Junior High School: Undergraduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G032: Labour Force Survey: Unemployment: by Age and Class.

Philippines Unemployed: Grade Completed: High School data was reported at 1,008.000 Person th in Jul 2018. This records a decrease from the previous number of 1,029.000 Person th for Apr 2018. Philippines Unemployed: Grade Completed: High School data is updated quarterly, averaging 1,250.000 Person th from Jul 2003 (Median) to Jul 2018, with 61 observations. The data reached an all-time high of 2,168.000 Person th in Apr 2004 and a record low of 884.000 Person th in Oct 2016. Philippines Unemployed: Grade Completed: High School data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G015: Labour Force Survey: Unemployment: by Region, Age and Class.

Philippines Unemployed: Grade Completed: High School: Junior: Undergraduate data was reported at 175.000 Person th in Jan 2025. This records an increase from the previous number of 158.000 Person th for Oct 2024. Philippines Unemployed: Grade Completed: High School: Junior: Undergraduate data is updated quarterly, averaging 231.000 Person th from Jan 2021 (Median) to Jan 2025, with 17 observations. The data reached an all-time high of 399.000 Person th in Jan 2021 and a record low of 155.000 Person th in Oct 2023. Philippines Unemployed: Grade Completed: High School: Junior: Undergraduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G033: Labour Force Survey: Unemployment: by Region, Age and Class: Quarterly.

Philippines Unemployed: Grade Completed: High School: Junior: Graduate data was reported at 520.000 Person th in Jan 2025. This records an increase from the previous number of 446.000 Person th for Oct 2024. Philippines Unemployed: Grade Completed: High School: Junior: Graduate data is updated quarterly, averaging 595.000 Person th from Jan 2021 (Median) to Jan 2025, with 17 observations. The data reached an all-time high of 1,226.000 Person th in Apr 2021 and a record low of 446.000 Person th in Oct 2024. Philippines Unemployed: Grade Completed: High School: Junior: Graduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G033: Labour Force Survey: Unemployment: by Region, Age and Class: Quarterly.

Philippines Unemployed: Grade Completed: High School: Junior data was reported at 695.000 Person th in Jan 2025. This records an increase from the previous number of 604.000 Person th for Oct 2024. Philippines Unemployed: Grade Completed: High School: Junior data is updated quarterly, averaging 825.000 Person th from Jan 2021 (Median) to Jan 2025, with 17 observations. The data reached an all-time high of 1,608.000 Person th in Apr 2021 and a record low of 604.000 Person th in Oct 2024. Philippines Unemployed: Grade Completed: High School: Junior data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G033: Labour Force Survey: Unemployment: by Region, Age and Class: Quarterly.

Philippines Unemployment: Grade Completed: Junior High School data was reported at 604.000 Person th in Feb 2025. This records a decrease from the previous number of 695.000 Person th for Jan 2025. Philippines Unemployment: Grade Completed: Junior High School data is updated monthly, averaging 795.500 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 1,684.000 Person th in Sep 2021 and a record low of 448.000 Person th in Dec 2024. Philippines Unemployment: Grade Completed: Junior High School data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G032: Labour Force Survey: Unemployment: by Age and Class.

Philippines Unemployment: Grade Completed: Junior High School: Graduate data was reported at 463.000 Person th in Feb 2025. This records a decrease from the previous number of 520.000 Person th for Jan 2025. Philippines Unemployment: Grade Completed: Junior High School: Graduate data is updated monthly, averaging 595.000 Person th from Jan 2021 (Median) to Feb 2025, with 50 observations. The data reached an all-time high of 1,226.000 Person th in Apr 2021 and a record low of 352.000 Person th in Dec 2024. Philippines Unemployment: Grade Completed: Junior High School: Graduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G032: Labour Force Survey: Unemployment: by Age and Class.

Philippines Unemployed: Grade Completed: High School: Undergraduate data was reported at 246.000 Person th in Jul 2018. This records a decrease from the previous number of 304.000 Person th for Apr 2018. Philippines Unemployed: Grade Completed: High School: Undergraduate data is updated quarterly, averaging 334.000 Person th from Jul 2003 (Median) to Jul 2018, with 61 observations. The data reached an all-time high of 820.000 Person th in Apr 2004 and a record low of 215.000 Person th in Oct 2016. Philippines Unemployed: Grade Completed: High School: Undergraduate data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G015: Labour Force Survey: Unemployment: by Region, Age and Class.

失业：完成等级：初中：本科在02-01-2025达141.000千人，相较于01-01-2025的175.000千人有所下降。失业：完成等级：初中：本科数据按月更新，01-01-2021至02-01-2025期间平均值为218.500千人，共50份观测结果。该数据的历史最高值出现于09-01-2021，达544.000千人，而历史最低值则出现于12-01-2024，为96.000千人。CEIC提供的失业：完成等级：初中：本科数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – Table PH.G032: Labour Force Survey: Unemployment: by Age and Class。

失业：完成等级：高中：高级：毕业生在01-01-2025达237.000千人，相较于10-01-2024的234.000千人有所增长。失业：完成等级：高中：高级：毕业生数据按季更新，01-01-2021至01-01-2025期间平均值为202.000千人，共17份观测结果。该数据的历史最高值出现于07-01-2024，达292.000千人，而历史最低值则出现于07-01-2023，为175.000千人。CEIC提供的失业：完成等级：高中：高级：毕业生数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – Table PH.G033: Labour Force Survey: Unemployment: by Region, Age and Class: Quarterly。

失业：完成等级：中学：大学生在07-01-2018达246.000千人，相较于04-01-2018的304.000千人有所下降。失业：完成等级：中学：大学生数据按季更新，07-01-2003至07-01-2018期间平均值为334.000千人，共61份观测结果。该数据的历史最高值出现于04-01-2004，达820.000千人，而历史最低值则出现于10-01-2016，为215.000千人。CEIC提供的失业：完成等级：中学：大学生数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – 表 PH.G015：劳动力调查：失业：按地区，年龄和类别。

失业：完成等级：高中：年少者：毕业生在01-01-2025达520.000千人，相较于10-01-2024的446.000千人有所增长。失业：完成等级：高中：年少者：毕业生数据按季更新，01-01-2021至01-01-2025期间平均值为595.000千人，共17份观测结果。该数据的历史最高值出现于04-01-2021，达1,226.000千人，而历史最低值则出现于10-01-2024，为446.000千人。CEIC提供的失业：完成等级：高中：年少者：毕业生数据处于定期更新的状态，数据来源于Philippine Statistics Authority，数据归类于全球数据库的菲律宾 – Table PH.G033: Labour Force Survey: Unemployment: by Region, Age and Class: Quarterly。