Indicator 5.5.2 - Proportion of women in managerial positions
Percent of US women ages 16 and older in full-time, civilian management occupations
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Percent of US women ages 16 and older in full-time, civilian management occupations
Global Metadata
This table provides information on metadata for SDG indicators as defined by the United Nations Statistical Commission. Complete global metadata documentation on all indicators in Goal 5, unless otherwise noted, is provided by the UN Statistics Division.
| SDG Indicator Name | Proportion of women in managerial positions |
|---|---|
| SDG Target Addressed | Ensure women's full and effective participation and equal opportunities for leadership at all levels of decision-making in political, economic and public life |
| Definition of SDG Indicator | 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 |
U.S. Metadata
This table provides metadata for the actual indicator available from U.S. statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from U.S. statistics, this table should be consulted for information on national methodology and other US-specific metadata information
| Method of computation for global SDG indicator | |
|---|---|
| Graph Title | Percent of US women ages 16 and older in full-time, civilian management occupations |
| Actual indicator available | OCCUPATION BY SEX FOR THE FULL-TIME, YEAR-ROUND CIVILIAN EMPLOYED POPULATION 16 YEARS AND OVER |
| Description of actual indicator available | Proportion of females in full-time, year-round management occupations compared to proportion of males in full-time, year-round management occupations. |
| 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. |
| Periodicity | Yearly |
| Time Period | 2000 to present |
| Unit of measure | |
| Disaggregation #1 (Industry or social categories) | |
| Disaggregation #2 (Geographical coverage) | |
| Date of public data release from National source | 09/2011 |
| Date of last Update of This Page | 10/2017 |
| Scheduled Update by National source | 10/2018 |
| Scheduled Update by SDG Team | 10/2018 |
| Data Source1 (Agency STAFF NAME) | Lynda Laughlin |
| Data Source2 (Staff E-MAIL) | Lynda.L.Laughlin@census.gov |
| Data Source3 (Agency/Survey/Dataset name) | 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 |
| Indicator web address (closest to data provided) | http://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t#none |
| International and National References |