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Presentation of Statistical Tables

Presentation of Statistical Tables. Bratislava, 5-7 May 2003 Angela Me Statistical Division UNECE. Presentation of Statistical Tables: Summary. Metadata Accuracy How to present gender differentials. Presentation of Statistical Tables. We should satisfy the needs of all types of readers

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Presentation of Statistical Tables

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  1. Presentation of Statistical Tables Bratislava, 5-7 May 2003 Angela Me Statistical Division UNECE

  2. Presentation of Statistical Tables: Summary • Metadata • Accuracy • How to present gender differentials NHDR Training Bratislava, May 2003

  3. Presentation of Statistical Tables We should satisfy the needs of all types of readers • those who do not understand or are not interested in statistical issues • those who understand statistical issues but are more interested in reading the message • those who are interested in how the data were produced NHDR Training Bratislava, May 2003

  4. Presentation of Statistical Tables • The reader should be able: • to easily understand the message from the data and the graphics • to find all the information on accuracy, sources and methodologies used NHDR Training Bratislava, May 2003

  5. Presentation of Statistical Tables The reader should NEVER be mislead by the data NHDR Training Bratislava, May 2003

  6. An example NHDR Training Bratislava, May 2003

  7. An example NHDR Training Bratislava, May 2003

  8. An example NHDR Training Bratislava, May 2003

  9. Statistical Tables • How can the presentation help the readers understand the message • Simplicity • Limited number of topics • Limited number of cross-classification • Presentation of both percentages (when relevant) and totals NHDR Training Bratislava, May 2003

  10. Metadata • Metadata • Sources: • Institution • Method of data collection: title, year • Publication • Methodologies: • definitions, • methods of calculation • Explanations (graphics) • Special cases (footnotes) NHDR Training Bratislava, May 2003

  11. Accuracy the reader should get the message that the data presented do not have the same degree of accuracy and should not be equally “trusted” NHDR Training Bratislava, May 2003

  12. Accuracy • Include qualifiers • ex: strong, fair, weak • present intervals • highlight estimations • Limit the decimals for small figures NHDR Training Bratislava, May 2003

  13. Presentation of sex disaggregated data • What data should be presented • total numbers • Percentages • by categories within total women and men • Sex distribution NHDR Training Bratislava, May 2003

  14. An example: Population ages 15 and over by educational level in China 1990Numbers in 1,000’s, percentage distribution and sex distribution (%) NHDR Training Bratislava, May 2003

  15. Presentation of sex disaggregated data • How data should be presented • Women and men should always be presented side by side • Numbers and percentages should be rounded off to facilitate comparisons between women and men • Graphics should start at zero at the y-axis for a quantitative variable NHDR Training Bratislava, May 2003

  16. Presentation of sex disaggregated data • How data should be presented • Sex distribution within categories is best illustrated in a graph • Pie charts should be avoided when distributions for several groups are compared NHDR Training Bratislava, May 2003

  17. Presentation of sex disaggregated data • More information • B. Hedman, F. Perucci, P. Sundstrom Engendering Statistics a Tool for Change, Statistics Sweden. • Contact: Mr. Pehr Sundstrom (pehr.sundstrom@scb.se) • Handbook for Producing National Statistical Reports on Women and Men, United Nations publications Sales No. E.97.XVII.10 NHDR Training Bratislava, May 2003

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