WUNRN
Direct Link to Full 32-Page
2014 Report: A WORLD THAT COUNTS: Mobilizing the Data Revolution for
Sustainable Development
http://www.undatarevolution.org/wp-content/uploads/2014/11/A-World-That-Counts.pdf
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Gender inequality and the
undervaluing of women’s activities and priorities in every sphere has been
replicated in the statistical record. Many of the issues of most concern
to women are poorly served by existing data; just over half of all countries
report data on intimate partner violence, and where it is reported quality is
not consistent, data is rarely collected from women over 49, and data are
not comparable. Very little data is available on the distribution of money or the
division of labour within households. Much more data are needed on the economic
roles of women of all ages as caregivers to
children, older persons and the
disabled in the household and in the labour force. Of the 42.9 million persons
of concern to the United Nations High Commissioner for Refugees (UNHCR)
globally at the end of 2013, sex composition was known for only 56 percent of
the population, and sex-age composition was available for just 35 percent. A
lack of demographic and location information frequently hinders needs
assessment and monitoring of the global response to emergencies. The new
goals will cover a wider range of environmental issues than the existing MDGs. Data on
many environmental issues is particularly sparse. There is almost no useful
data on chemical pollutants, despite toxic waste dumping being a serious
environmental and health issue in some countries. It is quite clear that the
monitoring of the Sustainable Development Goals will require substantial
additional investment in order to consolidate gains made during the
MDG era and to develop reliable, high-quality data on a range of new subjects,
such as climate risk mitigation or inequality, ensuring that no groups are
excluded, and with an unprecedented level of detail.
Data that are not used or not usable. To be
useful, data must be of high quality, at a level of disaggregation that is
appropriate to the issue at hand, and must be made accessible to those who
want
or need to use them. Too many countries still
have data that are of in sufficient quality to be useful in making decisions,
holding governments to account or fostering innovation. Good data are relevant,
accurate, timely, accessible, comparable and
produced free of political interferences. Data Disaggregation - No one should be invisible. To the extent possible
and with due safeguards for individual privacy and data quality, data should be
disaggregated across many dimensions, such as geography, wealth, disability,
sex and age. Disaggregated data should be collected on other dimensions based
on their relevance to the program, policy or other matter under consideration,
for example, ethnicity, migrant status, marital status, HIV status, sexual
orientation and gender identity, with due protections for privacy and human
rights. Disaggregated data can provide a better comparative picture of what
works, and help inform and promote evidence based policy making at every level.
