Institute for Statistics, UNESCO (UIS) - Revision history

Norah.Shamin at 21:41, 24 January 2026

2026-01-24T21:41:21Z

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 ##You can use the code in this GitHub to help pull the data: https://github.com/n1shamin/UIS-UNESCO
 = Coding =
 Notes:
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 Once here, the following three sheets were used: '''Effective Transition Rate from Primary to Lower Secondary General Education, (Female%/Male%/Total%).'''

Norah.Shamin: /* Tables In IFs */

2026-01-24T21:39:46Z

Tables In IFs

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Norah.Shamin at 21:30, 24 January 2026

2026-01-24T21:30:14Z

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Norah.Shamin at 00:36, 7 January 2026

2026-01-07T00:36:02Z

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 = Tables In IFs =
 {| class="wikitable"
 |Variable
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 = Data Pulling Instructions =
-# Go to https://uis.unesco.org/bdds
+# Go to https://databrowser.uis.unesco.org/resources/bulk
 # Download Education SDG, Education Other Policy Relevant Indicators, and R&D SDG
 ## Education SDG - File name: SDG
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 ### Use {File name}_NATIONAL_DATA.csv to extract series.
 ### Use {File name}_LABEL.csv to check the definition of the "INDICATOR_ID" listed below.
 = Coding =
 Notes:
 . Series need to be calculated: PupilTeacherRatioUISPrimary, PupilTeacherRatioUISSecondary, EDPriPTR, EdSecLowrPTR, EdExpPrePri%EducTot, EdExpPri%EducTot, EdExpSecLowr%EducTot, EdExpSec%EducTot, EdExpSecUppr%EducTot, EdExpTer%EducTot, EdTerGrads%Sci, GovtEdPub%GDP, EdExpISCED1-4Cap%, EdExpISCED1-4TotalCur%, EdExpISCED1-4NonSalCur%, EdExpISCED1-4Sal%

Norah.Shamin at 20:04, 15 July 2025

2025-07-15T20:04:36Z

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Norah.Shamin: /* Series Pulled in Sept. 2024 */

2025-07-15T20:00:19Z

Series Pulled in Sept. 2024

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 ### Use {File name}_LABEL.csv to check the definition of the "INDICATOR_ID" listed below.
-== Series Pulled in Sept. 2024 ==
+= Tables In IFs =
 Notes:

Norah.Shamin at 19:59, 15 July 2025

2025-07-15T19:59:01Z

Yutang.Xiong: Yutang.Xiong moved page UNESCO Institute for Statistics (UIS) to Institute for Statistics, UNESCO (UIS) without leaving a redirect: new name

2025-02-19T23:28:37Z

Yutang.Xiong moved page UNESCO Institute for Statistics (UIS) to Institute for Statistics, UNESCO (UIS) without leaving a redirect: new name

← Older revision	Revision as of 23:28, 19 February 2025
(No difference)

Kexin.Shang: /* Pulling Data on Enrollment in Vocational Programmes: */

2024-09-15T22:05:26Z

Pulling Data on Enrollment in Vocational Programmes:

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Fouad.Alkhouri: Removed dead link

2023-02-17T00:43:25Z

Removed dead link

← Older revision		Revision as of 00:43, 17 February 2023
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	#EdSecLowerVoc%AllTotal		#EdSecLowerVoc%AllTotal

	Data for these series was obtained from the ~~[[(http://data.uis.unesco.org/\|~~UIS Education Database in]] the following drop down menu sequence: Education>Participation>Distribution of Enrollment>Distribution of Enrollment by Programme Orientation.		Data for these series was obtained from the UIS Education Database in the following drop down menu sequence: Education>Participation>Distribution of Enrollment>Distribution of Enrollment by Programme Orientation.

	Because these particular series contain confusing wording, the full names in UIS of each fo the six series are provided below.		Because these particular series contain confusing wording, the full names in UIS of each fo the six series are provided below.

← Older revision		Revision as of 19:59, 15 July 2025
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	~~'''United Nations Statistics Division: UNESCO Institute for Statistics (UIS) Education Database'''~~		= Summary =

	The United Nations Statistics Division, UIS Education Database is the most comprehensive education databse in the world, containing data from more than 200 countries and territories. The UIS has the mandate to monitor progress towards Education for All and education-related Millennium Development Goals. The statistics, which are updated twice a year, are used by diverse partners, including governments, donor agencies and other UN organizations. In particular, the UIS is the primary education data source for the Education for All Global Monitoring Report, the World Development Indicators and the Human Development Report Data is collected through the UIS annual education survey, which covers all education levels and a range of issues such as enrolment rate, gender parity, teachers, and financing.		The United Nations Statistics Division, UIS Education Database is the most comprehensive education databse in the world, containing data from more than 200 countries and territories. The UIS has the mandate to monitor progress towards Education for All and education-related Millennium Development Goals. The statistics, which are updated twice a year, are used by diverse partners, including governments, donor agencies and other UN organizations. In particular, the UIS is the primary education data source for the Education for All Global Monitoring Report, the World Development Indicators and the Human Development Report Data is collected through the UIS annual education survey, which covers all education levels and a range of issues such as enrolment rate, gender parity, teachers, and financing.

	The IFs~~ ~~system uses data from the UIS Education Database on a wide variety of topics relating to education. The following sections provide instructions for pulling data from the UIS Education Database for IFs pre-processor series in the Education submodule.		The IFs system uses data from the UIS Education Database on a wide variety of topics relating to education. The following sections provide instructions for pulling data from the UIS Education Database for IFs pre-processor series in the Education submodule.

	= ~~Instruction on Bulk~~ Data ~~Download (Updated Sept. 2024)~~ =		= Data Pulling Instructions =

	# Go to https://uis.unesco.org/bdds		# Go to https://uis.unesco.org/bdds
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	\|}		\|}

	= Pulling Data on Enrollment in Vocational Programmes: =		== Pulling Data on Enrollment in Vocational Programmes: ==

	The pre-processor series in IFs relating to enrollment in vocational programmes are:		The pre-processor series in IFs relating to enrollment in vocational programmes are:

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	#'''Percentage of students in upper secondary education enrolled in vocational programmes, both sexes (%)'''		#'''Percentage of students in upper secondary education enrolled in vocational programmes, both sexes (%)'''

	= Pulling Data on Educational Expenditure: =		== Pulling Data on Educational Expenditure: ==

	The pre-processor series in IFs relating to educational expenditure are:		The pre-processor series in IFs relating to educational expenditure are:

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	Once here, the following 5 sheets were used: '''Government expenditure per (primary/secondary/lower seconday/upper seconday/tertiary) student as percentage of GDP per capita. '''		Once here, the following 5 sheets were used: '''Government expenditure per (primary/secondary/lower seconday/upper seconday/tertiary) student as percentage of GDP per capita. '''

	= Pulling Data on Graduation Rates: =		== Pulling Data on Graduation Rates: ==

	The pre-processor series in IFs relating to graduation rates are:		The pre-processor series in IFs relating to graduation rates are:

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	For 5-7 above, the following 3sheets were used:'''(Gross Graduation Ratio from Primary Education, (Female(%)/Male(%)/Both Sexes (%)).'''		For 5-7 above, the following 3sheets were used:'''(Gross Graduation Ratio from Primary Education, (Female(%)/Male(%)/Both Sexes (%)).'''

	= Pulling Data on Completion Rates: =		== Pulling Data on Completion Rates: ==

	The pre-processor series in IFs relating to graduation rates are:		The pre-processor series in IFs relating to graduation rates are:

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	*EdSecUpprCompletionTotal: Education>Education>Completion>Completion and graduation ratios>Completion rate for upper secondary education (household survey data), select both sexes (%) from dropdown		*EdSecUpprCompletionTotal: Education>Education>Completion>Completion and graduation ratios>Completion rate for upper secondary education (household survey data), select both sexes (%) from dropdown

	= Pulling Data on Intake Rates: =		== Pulling Data on Intake Rates: ==

	The pre-processor series in IFs relating to apparent (gross) intake rates are:		The pre-processor series in IFs relating to apparent (gross) intake rates are:

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	Once here, the following three sheets were used: Adjusted Net Intake Rate to Grade 1 of Primary Education, '''(Female/Male/Total).'''		Once here, the following three sheets were used: Adjusted Net Intake Rate to Grade 1 of Primary Education, '''(Female/Male/Total).'''



	'''Net Intake Rate to Grade1 of Primary Education'''		'''Net Intake Rate to Grade1 of Primary Education'''
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	*education>entry>net intake rate to primary education> Net Intake Rate to Grade1 of Primary Education both sexes (%)		*education>entry>net intake rate to primary education> Net Intake Rate to Grade1 of Primary Education both sexes (%)

	~~ ~~

	'''Net Intake Rate to Grade1 of Primary Education (over-age by +1 year)'''		'''Net Intake Rate to Grade1 of Primary Education (over-age by +1 year)'''
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	*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by over-age entrants (+1 year), male (%)		*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by over-age entrants (+1 year), male (%)
	*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by over-age entrants (+1 year), female (%)		*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by over-age entrants (+1 year), female (%)
	*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by over-age entrants (+1 year), both sexes (%)		*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by over-age entrants (+1 year), both sexes (%)<br />



	'''Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), male (%)'''		'''Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), male (%)'''

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	*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), male (%)		*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), male (%)
	*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), female (%)		*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), female (%)
	*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), both sexes (%)		*education>entry>net intake rate to primary education> Net intake rate to Grade 1 of primary education by under-age entrants (-1 year), both sexes (%)<br />



	'''Adjusted Net Intake Rate to Grade1 of Primary Education'''		'''Adjusted Net Intake Rate to Grade1 of Primary Education'''

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	*education>entry>net intake rate to primary education> Adjusted net intake rate to Grade 1 of primary education, both sexes (%)		*education>entry>net intake rate to primary education> Adjusted net intake rate to Grade 1 of primary education, both sexes (%)

	= Pulling Data on Survival Rates: =		== Pulling Data on Survival Rates: ==

	The pre-processor series in IFs relating to survival rates are:		The pre-processor series in IFs relating to survival rates are:

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	Once here, the following three sheets were used: '''Survival Rate to the Last Grade of Primary Education, (Female%/Male%/Total%).'''		Once here, the following three sheets were used: '''Survival Rate to the Last Grade of Primary Education, (Female%/Male%/Total%).'''

	= Pulling Data on Duration: =		== Pulling Data on Duration: ==

	The pre-processor series in IFs relating to survival rates are:		The pre-processor series in IFs relating to survival rates are:

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	Once here, the following three sheets were used: '''Theoretical Duration of (Primary/Lower Seconday/Upper Secondary) Education.'''		Once here, the following three sheets were used: '''Theoretical Duration of (Primary/Lower Seconday/Upper Secondary) Education.'''

	= Pulling Data on Transition Rates: =		== Pulling Data on Transition Rates: ==

	The pre-processor series in IFs relating to transition rates are:		The pre-processor series in IFs relating to transition rates are:

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	Once here, the following three sheets were used: '''Effective Transition Rate from Primary to Lower Secondary General Education, (Female%/Male%/Total%).'''		Once here, the following three sheets were used: '''Effective Transition Rate from Primary to Lower Secondary General Education, (Female%/Male%/Total%).'''

	= ~~Items of Note~~ =		= Data Notes =

	#As of May 2016, there was no data for 2015 for the LowerVoc series, only 1999-2014. However, there was 2015 data  for the UpperVoc series.		#As of May 2016, there was no data for 2015 for the LowerVoc series, only 1999-2014. However, there was 2015 data  for the UpperVoc series.
	#Country Concordance: UNESCO countries.		#Country Concordance: UNESCO countries.
	##As of March 2017, UIS utilizes "Cabo Verde" instead of "Cape Verde." The UNESCO Country Concordance utilizes "Cape Verde." '''You thus must replace "Cabo Verde" with "Cape Verde" in UIS data prior to importing into IFs.'''		##As of March 2017, UIS utilizes "Cabo Verde" instead of "Cape Verde." The UNESCO Country Concordance utilizes "Cape Verde." '''You thus must replace "Cabo Verde" with "Cape Verde" in UIS data prior to importing into IFs.'''