Sustainable Development Goals - 17 Goals to Transform our World
Gender equality - Goal 5

Achieve gender equality and empower all women and girls

Indicator 5.5.2: Proportion of women in managerial positions

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Percent of US women ages 16 and older in full-time, civilian management occupations

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Headline data

Year Value
2000 33.9
2008 36.5
2009 37.2
2010 37.6
2011 37.7
2012 37.5
2013 37.8
2014 38.2
2015 38.4
2016 38.8
2017 39.0

This table provides metadata for the actual indicator available from US statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from US statistics, this table should be consulted for information on national methodology and other US-specific metadata information.

Actual indicator available OCCUPATION BY SEX FOR THE FULL-TIME, YEAR-ROUND CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER
Actual indicator available - description Proportion of females in full-time, year-round management occupations compared to proportion of males in full-time, year-round management occupations.
Date of national source publication 09/2011
Method of computation
Periodicity Yearly
Scheduled update by national source 10/2019
U.S. method of computation Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The margin of error for the data provided is +/-.2 (this is the 90 percent margin of error). The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error. The effect of nonsampling error is not represented in these data. Occupation codes are 4-digit codes and are based on Standard Occupational Classification 2010.
Comments and limitations The data for management workers for 2000, 2008, and 2009 were converted to the 2010 Census occupation code list to make them comparable across time. The Census Bureau occupation code list follows the structure of the Standard Occupation Classification (SOC) system and is updated periodically. The SOC is expected to be revised again in 2018.
Date metadata updated 10/2019
Disaggregation geography
Unit of measurement
Disaggregation categories
International and national references
Time period 2000 to present
Scheduled update by SDG team 10/2019

This table provides information on metadata for SDG indicators as defined by the UN Statistical Commission. Complete global metadata is provided by the UN Statistics Division.

Indicator name Proportion of women in managerial positions
Target name Ensure women's full and effective participation and equal opportunities for leadership at all levels of decision-making in political, economic and public life
Global indicator description The indicator proposed measures the proportion of women in leadership positions across a number of areas, including: in the executive branch of government: Number of women Heads of State and Governments as a percentage of total (Tier 1) Number of ministerial positions that are held by women as a percentage of total (Tier 1 ' part of Minimum set of gender indicators) Number of leadership positions held by women in local governments as a percentage of total (Tier 3) in the legislative branch of government: Number of seats in national parliaments held by women as a percentage of total (Tier 1 ' part of Minimum set of gender indicators) in the judiciary branch of government and law enforcement: Number of women judges as a percentage of total (Tier 2 - ' part of Minimum set of gender indicators) Number of women police officers as a percentage of total (Tier 2 ' part of Minimum set of gender indicators) ; and the share of managers in public and private sector enterprises that are women (Tier 1 ' part of Minimum set of gender indicators). Some of these data are already collected while others need further development. For example, UN Women routinely collects data on women Heads of State and Government; the Inter-Parliamentary Union (IPU) regularly collects data on the proportion of women ministers and in parliaments; indicators on women in law enforcement are also readily available; and ILO regularly publishes data on women managers using data from national labour force surveys. Data on women's political participation at the local level have not been as systematically collected at the global level. Measuring women's participation in local government is important, however, because of the responsibilities of local governments and the significantly higher number of opportunities (that is, seats) available to women candidates at this level. To measure women's representation in local governments, methodologies and standards are currently being developed by UN Women and United Cities and Local Governments (UCLG).
UN designated tier 1
UN custodial agency ILO
Link to UN metadata UN metadata opens in a new window
Organisation U.S. Census Bureau
Agency Staff Name Lynda Laughlin
Agency Survey Dataset U.S. Census Bureau/The American Community Survey/Table S2402 U.S. Census Bureau/The American Community Survey/Tables B24125, B24126 U.S. Census Bureau/The American Community Survey/ Detailed Occupations and Median Earnings: 2008 U.S. Census Bureau/Census 2000/ Full-Time, Year-Round Workers and Median Earnings in 1999 by Sex and Detailed Occupation: 2000
Notes
Title
Link to data source http://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t#none opens in a new window