Household Characteristics. Complete one line for each tenant receiving HOME tenant-based rental assistance from HOME funds. Tenant’s Last Name or First 5 Letters of Last Name. Enter the tenant’s last name if the name is 5 letters or less. Enter the first five letters of the last name if the name is more than five letters.
Household Characteristics. Complete one line for each tenant receiving tenant-based rental assistance from the HOME Program. Tenant’s Last Name. Enter the tenant’s last name if the name is 5 letters or less. Enter the first five letters of the last name if the name is more than five letters or a unique file identification number. # of Bdrms. Enter 0 for a single room occupancy (SRO) unit or for an efficiency unit, 1 for 1 bedroom, 2 for 2 bedrooms, 3 for 3 bedrooms, 4 for 4 bedrooms, and 5 for 5 or more bedrooms. Sec Dep. Enter the amount of HOME funds to be paid to the tenant or owner as a security deposit payment (to the nearest dollar).
Household Characteristics. The analysis included a number of control variables identified in the literature as relevant to domestic violence. These variables were taken from the NFHS and categorized into household and participant characteristics. The household characteristics included indicators for region, place of residence, net state domestic product (NSDP), wealth index, and religion. Following the regional distribution of states exhibited by Dyson and Xxxxx(Dyson & Xxxxx, 1983), the region variable places each of the 29 states of India into one of four regions: north, east, south, and other. The northern region included the states Punjab, Uttar Pradesh, Uttaranchal, Haryana, Rajasthan, Madhya Pradesh, Chhattisgarh, Gujarat, and the national capital territory of Delhi. The south was comprised of Maharashtra, Andhra Pradesh, Karnataka, Kerala, and Tamil Nadu. The east represented Bihar, Jharkhand, West Bengal, and Orissa. While the category other included the outlying states, Jammu and Kashmir, Himachal Pradesh, Sikkim, Arunachal Pradesh, Nagaland, Manipur, Mizoram, Tripura, Meghalaya, Assam, and Goa. The northern, southern, and eastern states followed the division described by Dyson and Xxxxx with an exception to states formed after 1983. To remain consistent with the original regional analysis of Dyson and Xxxxx, the states Uttaranchal (previously Uttar Pradesh), Chhattisgarh (previously Madhya Pradesh), and Delhi were included as northern states and Jharkhand (previously Bihar) was included in the east. Place of residence was used to denote urban and rural environments. Net state domestic product values were obtained from the 0000-0000 Xxxxx Ministry of Statistics and Programme Implementation to coincide with the data collected in the IHDS. The wealth index was measured in 5 levels ranging from poorest to richest. Religion was separated into four categories Hindu, Muslim, Christian, and a combination of religions including Sikh, Buddhist, Jewish, and those with no affiliation, among others. Women’s Characteristics Participant characteristics included age, education, occupation, age at first marriage, spousal age difference, and number of children. Age was measured in 5 year increments from 15 to 49. Education was measured on four levels to describe participants that had no education, primary education, secondary education, or higher education. Occupation was categorized into three groups: not working or unemployed, non-manual labor, and manual labor. Non-manual labor included ...
Household Characteristics. Household income quintile Lowest Quintile Reference Reference 2nd Quintile 0.04 (-0.12, 0.21) 0.01 (-0.19, 0.20) 3rd Quintile 0.24 (0.02, 0.45) 0.13 (-0.06, 0.33) 4th Quintile 0.58 (0.35, 0.80) 0.33 (0.05, 0.62) Highest Quintile 0.61 (0.24, 0.98) 0.29 (-0.05, 0.63) Religion Hindu Reference Reference Muslim -0.08 (-0.19, 0.04) -0.15 (-0.30, 0.003) All Other Religions 0.35 (-0.13, 0.83) 0.21 (-0.23, 0.65) Caste General Caste Reference Reference Other Backward Castes -0.16 (-0.32, - -0.24 (-0.46, -0.02) 0.003) Scheduled Castes -0.49 (-0.79, -0.20) -0.39 (-0.65, -0.12) Scheduled Tribes -0.31 (-0.73, 0.12) -0.08 (-0.50, 0.35) Residence Rural Reference Reference Urban 0.38 (0.21, 0.54) 0.20 (-0.06, 0.46) Parental characteristics Mother's age, years 0.02 (-0.001, 0.04) 0.03 (0.01, 0.04) Mother's BMI 0.03 (0.01, 0.06) 0.005 (-0.02, 0.03) Mother's Age at Marriage, years 0.04 (-0.01, 0.08) -0.01 (-0.05, 0.03) Supplemental Table 5. Unadjusted and adjusted variable associations with HAZ for children ages 2 to 5 years Height-for-Age Z-score Unadjusted coefficient (95% CL) Adjusted Coefficient (95% CL) Mother's Education None Reference Reference 1-9th Standard 0.26 (0.13, 0.39) 0.10 (-0.04, 0.23) 10-12th Standard 0.58 (0.37, 0.79) 0.17 (-0.07, 0.42) Post Secondary and Above 0.40 (-0.24, 1.03) -0.15 (-0.66, 0.36) Father's Education None Reference Reference 1-9th Standard 0.32 (0.084, 0.56) 0.24 (-0.04, 0.51) 10-12th Standard 0.71 (0.42, 1.00) 0.47 (0.18, 0.77) Post Secondary and Above 0.57 (0.18, 0.96) 0.26 (-0.01, 0.53)
Household Characteristics. Household size or household characteristics were not appropriate for the specific type of unit available at the time of application.
Household Characteristics. Household characteristics were evaluated by home environment questionnaires to ascertain information about sources of residential chemical exposure. The questionnaire obtained the information about residential characteristics, including construction materials, age of the house, type of residence (e.g. single-family home, apartment, or mobile home) as well as neighborhood information (e.g. distance to the nearest industrial plant, dump or waste sites). In addition, we acquired information about the characteristic of the cleaning products and frequency. Household vacuum dust collection. Dust is the predominant PBDE exposure pathway for the general population of the United States (EPA, 2010; Xxxxxx, 2008). Previous study had also suggested that in addition to dietary intake, house dust contributed most of the PBDE intake for both toddler and adult in China (Ni et al., 2013). PBDEs, those with higher molecular weight in particular, are not very volatile and tend to accumulate in dust. In addition, a previous study in Denmark concluded that since penta-mix PBDE congeners in dust were significantly correlated with those in air and placenta samples, indoor exposure could be seen as an important pathway for human PBDE exposure (Vorkamp, Thomsen, Frederiksen, Pedersen, & Xxxxxxx, 2011). We therefore collected vacuumed dust sample in household to represent the PBDE exposure in home environment. Prior to the home visit, participants were instructed not to vacuum their floors so there would be enough dust volume for sample collection. Participants would identify the room in which they spent most of their time and the room was sampled by vacuuming rugs or floors using a 1 m2 template to collect dust sample according to the standard operating procedures. Samples were then transported to the Laboratory for Exposure Assessment and Method Development in Environmental Research (LEADER) at Emory University’s Xxxxxxx School of Public Health. Although the primary pathways for PBDE exposure among human are ingestion and dermal contact, we tend to collect particle size less than 150 µm, since particles with this size are more likely to adhere to skin and would results in dermal exposure and skin to mouth transfer followed by ingestion and not inhalable into lung. Therefore, house dust sample were sieved twice to a particle size of less than 150 µm by using screens to obtain the fine fraction. After sieving to the certain particle size, sieved sample would then be stored at room ...
Household Characteristics. Number, size, and type of existing households, and characteristics of lower-income households (including extremely low).
Household Characteristics. Age of youngest child <1 month 8.1 10.7 9.0 9.5 11.9 10.4 1 month 16.8 20.5 18.5 17.6 17.8 16.9 2 months 20.2 15.6 16.9 18.8 17.8 18.5 3 months 17.3 18.0 21.1 17.1 15.6 18.5 4 months 19.1 19.4 17.9 19.2 17.4 15.0 5 months 18.5 15.8 16.6 17.8 19.4 20.7 Household wealth quintile Poorest 24.9 31.6 28.4 27.6 24.5 27.3 Poorer 20.8 18.5 28.8 22.1 24.2 24.3 Middle 17.3 14.7 17.9 19.3 24.7 19.4 Richer 20.2 15.4 17.9 16.5 17.2 18.3 Richest 16.8 19.8 7.0 14.6 9.5 10.9 Place of residence Urban 39.9 22.7 26.5 28.2 28.4 21.5 Region 71.6 Northern 45.1 54.1 33.9 65.2 62.1 51.0 1Missing values: Nigeria, n=1 2Missing values: Ghana, n=9; Xxxxxxx, x=0; Nigeria, n=26; Zambia, n=1; Zimbabwe, n=4 Table 4. Logistic regression estimates for unadjusted and adjusted associations of IPV with early breastfeeding initiation Ghana, n=173 Kenya, n=449 OR Unadjusted SE p-‐value OR Adjusted1 SE p-‐value OR Unadjusted SE p-‐value OR Adjusted SE p-‐value Physical 0.99 0.45 0.978 1.02 0.53 0.962 0.92 0.26 0.778 0.93 0.25 0.772 Less Severe 0.99 0.45 0.978 1.02 0.53 0.962 0.91 0.25 0.737 0.92 0.25 0.765 More Severe [omitted] [omitted] 0.43 0.15 0.013 0.38 0.13 0.004 Emotional 0.83 0.35 0.650 0.74 0.34 0.511 0.60 0.17 0.077 0.59 0.17 0.067 Sexual 0.57 0.50 0.521 0.46 0.42 0.399 0.71 0.35 0.486 0.56 0.24 0.181 Pregnancy IPV 0.32 0.29 0.208 0.19 0.18 0.077 N/A N/A Any IPV 0.77 0.31 0.520 0.67 0.28 0.342 0.82 0.22 0.467 0.81 0.20 0.396 Xxxxxxx, x=000 Xxxxxxx, n=2036 OR Unadjusted SE p-‐value OR Adjusted1 SE p-‐value OR Unadjusted SE p-‐value OR Adjusted1 SE p-‐value Physical 0.85 0.28 0.634 0.95 0.34 0.884 1.23 0.18 0.162 1.10 0.16 0.534 Less Severe 0.79 0.25 0.465 0.79 0.27 0.498 1.22 0.18 0.179 1.09 0.16 0.574 More Severe 0.72 0.26 0.374 0.60 0.26 0.232 1.64 0.36 0.022 1.44 0.32 0.101 Emotional 0.70 0.22 0.265 0.71 0.23 0.293 1.04 0.14 0.763 0.99 0.14 0.950 Sexual 1.36 0.84 0.616 1.23 0.86 0.765 1.22 0.34 0.470 1.05 0.29 0.867 Pregnancy IPV N/A N/A 1.35 0.37 0.273 1.26 0.35 0.408 Any IPV 0.84 0.25 0.552 0.94 0.29 0.848 1.04 0.13 0.738 0.98 0.13 0.861 Zambia, n=454 Zimbabwe, n=367 OR Unadjusted SE p-‐value OR Adjusted SE p-‐value OR Unadjusted SE p-‐value OR Adjusted1 SE p-‐value Physical 0.73 0.15 0.133 0.64 0.13 0.032 0.77 0.21 0.337 0.80 0.23 0.450 Less Severe 0.72 0.15 0.126 0.62 0.13 0.028 0.81 0.22 0.441 0.85 0.25 0.570 More Severe 0.75 0.27 0.429 0.76 0.29 0.475 0.85 0.38 0.716 1.14 0.57 0.796 Emotional 0.85 0.25 0.589 0.84 0.25 0.550 0.82 0.23 0.459 0.86 0.25 0.602 Sexual 0.44...
Household Characteristics. Neath Port Talbot Council Replacement Local Development Plan (RLDP) Delivery Agreement (January 2022) Table 9: Household Characteristics Household Characteristics Neath Port Talbot Wales Married or in a registered same-sex civil partnership 46.8% 46.1% Cohabiting 11.2% 11.6% Single Person 42.0% 42.3% 82 Neath Port Talbot Council Replacement Local Development Plan (RLDP) Delivery Agreement (January 2022) Lone Parent Households Table 10: Lone Parent Households Lone Parent Household Neath Port Talbot Wales Percentage of lone parent households 12.2% 11.4% Percentage of lone parent households with dependent children 62.5% 66.3% Percentage of lone parent households with non-dependent children 37.5% 33.7% 83 Economic Activity Neath Port Talbot Council Replacement Local Development Plan (RLDP) Delivery Agreement (January 2022) Table 11: Economic Activity (Working Age Population) Neath Port Talbot Wales All People Economically Active 71.2% 75.7% In Employment 69.7% 72.8% Employees 63.8% 63.0% Self-Employed 5.0% 9.9% Unemployed 3.8% 3.7% Males Economically Active 71.7% 78.1% In Employment 69.6% 75.0% Employees 62.3% 62.1% Self-Employed 6.6% 12.4% Unemployed No data 3.8% Females Economically Active 70.8% 73.4% In Employment 69.8% 70.7% Employees 65.3% 63.9% Self-Employed 3.5% 6.2% Unemployed No data 3.6% 84
Household Characteristics. Complete Section Three by answering each “Yes” or “No” question and providing additional information if applicable. Special note: ✓ If any field is determined to be not applicable, complete the field by entering N/A.
