Cette table fournit des métadonnées pour l'indicateur réel disponible à partir des statistiques US les plus proches de l'indicateur SDG global correspondant. Veuillez noter que même lorsque l'indicateur global des ODD est entièrement disponible à partir des statistiques US, ce tableau devrait être consulté pour obtenir des informations sur la méthodologie nationale et d'autres informations sur les métadonnées spécifiques à un pays_adjectif.
| Actual indicator available | Data are based on indicators 4-1-1, 4-2-1, 4-2-2, 4-3-1, 4-4-1, 4-6-1, 4-7-1. Description of indicators are contained in meta data for those indicators. |
|---|---|
| Actual indicator available - description | Descriptions of indicators are based on information in other metaprovided in indicators 4-1-1, 4-2-1, 4-2-2, 4-3-1, 4-4-1, 4-6-1, 4-7-1. Variable lists provided under other indicator metadata. Raw data are provided since there it would seem to be inappropriate to have some groups in the numerator on some metrics and in the denominator on others. |
| Date of national source publication | Varies |
| Method of computation | |
| Periodicity | Varies |
| Scheduled update by national source | Varies |
| U.S. method of computation | Refer to metadata for specific indicators. |
| Comments and limitations | Refer to metadata for specific indicators. Note that parity measures suggested above are highly sensitive to small differences and do not account for differences strictly due to standard errors of the samples. The problem with the suggested metric is compounded when comparing relatively small percentages. So, if 10 percent of males and 12 percent of females were enrolled at a particular level, and there was a standard error of .75 on each metric, there would be no significant difference yet the parity ratio as specified above would be .83 which might suggest a substantial difference. The two point difference flipping the perspective to 88 and 90 percent enrolled would yield a metric of 98, which would be more in line with the non-significant difference. As a result of these concerns with the specified metrics and the nonlinear aspect of the metric, we strongly recommend a different approach be used to compare across countries when the differences from country to country in the raw metrics may be assumed to be very large. |
| Date metadata updated | 11/2016 |
| Disaggregation geography | National |
| Unité de mesure | Percentages or scores |
| Disaggregation categories | National and gender for most indicators. |
| International and national references | https://nces.ed.gov/surveys/annualreports/ |
| Time period | 2003 to 2015 |
| Scheduled update by SDG team |