yincome_wb dataset
This dataset contains yearly income data at the individual level, with a unique identifier for each person (ind_ID) and their household (ID00). It includes:
Geographic Information:
ID01: Governorate code with labels (e.g., Jenin, Nablus).
region: Region (West Bank, Jerusalem J1).
Household Info:
QC3: Number of household members.
Raw Income Components (Original Currency):
Variables from I15_2_1 to I15_2_11, including cash and in-kind grants from government/non-government, remittances (domestic and abroad), rental income, investment income, etc.
Total Yearly Income:
I15_Total: Total income over the past 12 months in original currency.
I15_1: Currency type used (NIS, JD, USD, Euro).
Converted Income in NIS:
Each component has a counterpart variable (e.g., I15_2_1_NIS) representing the same income converted to New Israeli Shekels (NIS) using predefined exchange rates.
I15_Total_NIS: Total yearly income in NIS.
Key Calculated Variables:
ind_ID: Created by combining ID00 and D1 to uniquely identify individuals within households.
Converted Values: All income components and total income were converted to NIS using monthly or average exchange rates.
These conversions were used to enable consistent aggregation and comparison across households.
Aggregation/Validation Notes:
If used in R, income values in NIS can be summed by household using group_by(ID00) to get household-level income.
Can be further linked with other datasets (e.g., consumption) via ID00 or ind_ID.
West Bank (Full Year 2023 micro-data)
Weight variables: weight_wby_trim (final calibrated & trimmed probability weight for Q1-Q4) and its mean-one counterpart rw_wb. Use either for every 2023 West-Bank-only estimate.
Cases: | 8499 |
Variables: | 33 |