Individual Deprivation Measure

From 2016-2020 the IDM was a partnership between @ANUCrawford, @IWDA & @DFAT. Follow IDM futures @Equal_Insights & @ResearchPoverty

[Individual Deprivation Measure @IDMdata]

ICYMI: the work of program partners @anucrawford and @iwda will be carried forward under two new banners. Stay connected by following us @equal_insights and @ResearchPoverty & check out our new websites:
https://t.co/L8PKs5lXlv
https://t.co/90vFrP5i56

[Department of Foreign Affairs and Trade 🇦🇺 @dfat]

Gender-based violence is increasing around the 🌎 due to the economic & social impacts of COVID-19. Addressing this is a priority for 🇦🇺's #PartnershipsForRecovery development program, which is helping people like Anna work to support those most affected by COVID-19 ⬇️ #16Days

[Individual Deprivation Measure @IDMdata]

ICYMI: Exciting news about our future directions shared by @ANUCrawford & @IWDA IDM team leaders @BessellSharon & @jojomaia. Watch in full:
https://t.co/mrWHqD5bP3

& stay in touch by following:
@Equal_Insights
@ResearchPoverty

[Individual Deprivation Measure @IDMdata]

Equality Insights will leverage @IWDA’s long-term, feminist partnerships to engage with women’s rights organisations and movements, putting data in their hands and co-analysing the data for actionable insights. Follow @Equal_Insights & explore:
https://t.co/L8PKs54mtX

[Individual Deprivation Measure @IDMdata]

The ANU will be taking forward the work of the IDM with the IMMP! Based in the Poverty and Inequality Research Centre within @ANUCrawford, IMMP will continue to develop a strong research and evidence base for assessing and responding to poverty. Follow here:
@ResearchPoverty

[Individual Deprivation Measure @IDMdata]

If you haven't already, make sure to follow us at our new homes:
👁️@equal_insights
📝@ResearchPoverty

[Emily Courey Pryor @emilycpryor]

A1: We still don't have a lot of data on the short- and long-term economic impacts the pandemic will have on women, given their disproportionate representation as essential workers (including health care workers!) and caregivers. #genderdata

[Individual Deprivation Measure @IDMdata]

@devex #genderdata Q7: Even if COVID19 cases remain at zero, gender gaps in literacy and access to information mean specific efforts are required to ensure equal access to public health information, especially at the intersection of gender, age, and geography.

[Individual Deprivation Measure @IDMdata]

@devex #Genderdata Q7: our multidimensional @idmdata from the Solomon Islands showed significantly more women than men had completed either no or minimal schooling -with older women the most likely to be illiterate & unable to read public health messaging:
https://t.co/URdIPTjgRz

[Individual Deprivation Measure @IDMdata]

@devex #genderdata Q5: W/o data that can be disaggregated, about aspects of life that illuminate gendered differences linked to gendered roles & responsibilities (time-use, unpaid work) recovery will be sub-optimal.

[Individual Deprivation Measure @IDMdata]

@devex #genderdata Q5: Provide the policy/legislative context that requires & enables individual-level, gender-sensitive data collection.

[Individual Deprivation Measure @IDMdata]

@devex #genderdata Q7: Multidimensional is richest as it informs us on many aspects of life and how these overlap. See how hygiene, time-use, safety & access to water & healthcare all interact in the context of COVID19 preparedness in Fiji:
https://t.co/UGMov9n653

[Individual Deprivation Measure @IDMdata]

@devex #genderdata Q4: @IDMdata provides individual-level data about 15 key dimensions of life, from all adults in a household, of all ages, can show who is deprived in what ways to what extent, how intersecting barriers deepen disadvantage & how deprivations are related.

[Individual Deprivation Measure @IDMdata]

@devex #genderdata Q3: In #SolomonIslands, with globally high rates of intimate partner physical &/or sexual violence for women (64%) #COVID19 has only increased risks & challenges of reporting by limiting mobility & access to services
https://t.co/URdIPTjgRz

[Individual Deprivation Measure @IDMdata]

@devex #genderdata Q1: A glaring gap is individual-level, multidimensional #poverty #data-extraordinary that 25 years after the Beijing World Conference data is still routinely collected about HHs so can’t be disaggregated. @IDMData solves the problem.

[Individual Deprivation Measure @IDMdata]

@devex #Genderdata Q1: Where data does exist, we still need more intersectional analysis - to understand how gender, age, location, religion, race or disability may compound barriers for #COVID19 preparedness

[Equal Measures 2030 @Equal2030]

Women’s safety is linked to access to education, employment, #SRHR and well-being.

@ARROW_women and @Equal2030 factsheet tells us that only 61% of women in Asia-Pacific region reported feeling safe walking at night.

Learn more: https://t.co/h5fibHutjw

[IWDA @iwda]

While women and men may share the same dwelling, our @IDMdata study in #SolomonIslands found that women were less likely to have adequate bedding & more likely to feel anxiety around food insecurity. See the full gender-sensitive analysis: https://t.co/079YkInHYR #GenderData

[Jo Crawford @JoCrawford_Melb]

Data that obscures differences & inequalities is always suboptimal, making it harder to see what’s needed & focus for impact. #GenderData matters

[Data2X @Data2X]

What is the state of existing data on sex-disaggregated #COVID19 cases and deaths? In our third blog with @OpenDataWatch, we explore the most up-to-date data. Read our five takeaways: https://t.co/CFlnZXIoa4