Sample Designs and Estimations

All surveys use nationally representative samples and include adults and children, male and female, rural and urban areas, referenced in specific regions, governorates and clusters. Statistical sampling methods were applied based on geographical division to design the sample of respondents. Respondent households belong to predetermined areas of the country. The number of households in each area is chosen to closely match the characteristics of the population at the national and subnational levels. 

For the estimations in this publication, the weight applied to each area, household and individual, were considered. The weights usually state the number of units (individuals or households) represented in the population by each unit in the sample. Those sample weights are also useful for adjusting the proportion of each area (if the number of households in that area is over/under-sampled) and for adjusting for non-responses.  

The diversity of the data sources and survey methodologies place three main limitations on this analysis: First, most surveys do not have a dedicated module on disability and simply ask one question regarding the disability status of the person (for example, “Do you suffer from a disability condition that is expected to last for more than six months?”). Second, even when surveys contain modules on disability, the questions vary and do not always conform to the WGSS methodology. Third, in some cases, it is not sound to provide disaggregated data on subsets of persons with disabilities (for example, children with disabilities under the age of five). Since persons with disabilities represent a small proportion of the total population, the repartition of this group into subgroups lowers the number of observations which can lead to a statistical bias.

[1]Table 7.1: Adjusted Wald test for differences in means- Stunting (age 0-5 years)

Location /gender Disability status Total Mean Adjusted Wald test
Yemen (DHS 2013). Urban With 18 0.309025 0.7854
Without 3,232 0.3396
Yemen (DHS 2013). Rural With 71 0.64235 0.075
Without 10,793 0.514582
Yemen (DHS 2013). Male With 52 0.57158 0.3051
Without 7,120 0.477069
Yemen (DHS 2013). Female With 37 0.526925 0.4733
Without 6,905 0.455111
Egypt (DHS 2014). Urban With 28 0.210468 0.8171
Without 5,575 0.232526
Egypt (DHS 2014) Rural With 31 0.208724 0.7899
Without 8,295 0.229631
Egypt (DHS 2014). Male With 35 0.142217 0.1259
Without 7,129 0.230593
Egypt (DHS 2014). Female With 24 0.318587 0.2803
Without 6,741 0.200438

Table 7.2: Adjusted Wald test for differences in means- Wasting (age 0-5 years)

Location /gender Disability status Total Mean Adjusted Wald test
Yemen (DHS 2013). Urban With 5 0.141748 0.2488
Without 1,265 0.437086
Yemen (DHS 2013). Rural With 18 0.37022 0.155
Without 3,077 0.168519
Yemen (DHS 2013). Male With 13 0.312286 0.3329
Without 2,221 0.171433
Yemen (DHS 2013). Female With 10 0.514049 0.0669
Without 2,121 0.147028
Egypt (DHS 2014). Urban With 28 0.068624 0.7291
Without 5,575 0.089923
Egypt (DHS 2014) Rural With 31 0.067188 0.7613
Without 8,295 0.082666
Egypt (DHS 2014). Male With 35 0.06313 0.6257
Without 7,129 0.084239
Egypt (DHS 2014). Female With 24 0.072965 0.8562
Without 6,741 0.085608

Table 7.3: Adjusted Wald test for differences in means- Households member visited health facility during the last two years

Location /gender Disability status Total Mean Adjusted Wald test
Yemen (DHS 2013). Urban With 810 0.900595 0.0001
Without 3,880 0.842624
Yemen (DHS 2013). Rural With 2,425 0.772149 0
Without 10,209 0.84604

Note: With disability indicates the inclusion of at least one person with a disability in the household.

Table 7.4: Adjusted Wald test for differences in means- Household health expenditure

Location /gender Disability status Total Mean Adjusted Wald test
Jordan (HEIS 2013). Urban With 810 0.900595 0.0001
Without 3,880 0.842624
Jordan (HEIS 2013). Rural With 2,425 0.772149 0
Without 10,209 0.84604
Iraq (I-HSES 2012). Urban With 2,920 1344.024 0.0001
Without 11,035 843.8889
Iraq (I-HSES 2012). Rural With 2,028 1202.882 0.007
Without 7,286 751.6314

Note: With disability indicates the inclusion of at least one person with a disability in the household.

Table 7.5: Adjusted Wald test for differences in means- Household access to improved water

Location Disability status Total Mean Adjusted Wald test
Yemen (DHS 2013). Urban With 734 0.719027 0.0016
Without 3,265 0.794407
Yemen (DHS 2013). Rural With 2,115 0.456726 0.0022
Without 8,061 0.503938
Jordan (HEIS 2013). Urban With 221 0.590462 0.014
Without 2,830 0.468809
Jordan (HEIS 2013). Rural With 115 0.673524 0.0573
Without 1,684 0.550265
Iraq (I-HSES 2012). Urban With 2,991 0.988147 0.5795
Without 11,893 0.986327
Iraq (I-HSES 2012). Rural With 2,129 0.767554 0.2838
Without 8,133 0.750487
Egypt (HIECS 2015). Urban With 386 0.977632 0.6389
Without 4,835 0.982774
Egypt (HIECS 2015). Rural With 533 0.91241 0.8244
Without 6,234 0.915699

Note: With disability indicates the inclusion of at least one person with a disability in the household. Water is defined as improved if it comes from a household connection, a public standpipe, a borehole, a protected dug well or spring or from rainwater collection. Unimproved drinking water signifies water coming from an unprotected well or spring, from rivers or from ponds, as well as vendor-provided, bottled and tanker truck water. The data for Jordan pertains only to access to piped water, without taking into account other sources of improved water. See World Health Organization, undated.

Table 7.6: Adjusted Wald test for differences in means- Households access to electricity

Location Disability status Total Mean Adjusted Wald test
Yemen (DHS 2013). Urban With 733 0.983161 0.5162
Without 3,265 0.986845
Yemen (DHS 2013). Rural With 2,111 0.641912 0.0091
Without 8,052 0.681072
Jordan (HEIS 2013). Urban With 221 0.93678 0.6036
Without 2,830 0.927857
Jordan (HEIS 2013). Rural With 115 0.860632 0.4135
Without 1,684 0.899386
Iraq (I-HSES 212). Urban With 2,991 0.998952 0.825
Without 11,893 0.998724
Iraq (I-HSES 212). Rural With 2,129 0.992918 0.9592
Without 8,133 0.992766
Egypt (HIECS 2015). Urban With 386 0.990574 0.9916
Without 4,835 0.990651
Egypt (HIECS 2015). Rural With 533 0.994306 0.9596
Without 6,234 0.994149

Note: With disability indicates the inclusion of at least one person with a disability in the household. For Yemen, Iraq, and Egypt, access to electricity means access to publicly networked electricity. For Jordan, ownership of an electrical fan was used as a proxy for access to electricity.


[1] We use the Wald test to test differences in means across groups. The Wald test uses an asymptotic argument to compare that statistic with a standard normal distribution, while the t-test relies on an exact small-sample argument to compare the test statistic with a t-distribution. While the t-test is not exactly equivalenting to the Wald test, they are asymptotically equivalent.