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Filipino-Family-Income-and-Expenditure

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Stewart
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Context The Philippine Statistics Authority (PSA) spearheads the conduct of the Family Income and Expenditure Survey (FIES) nationwide. The survey, which is undertaken every three (3) years, is aimed at providing data on family income and expenditure, including, among others, levels of consumption by item of expenditure, sources of income in cash, and related information affecting income and expenditure levels and patterns in the Philippines. Content Inside this data set is some selected variables from the latest Family Income and Expenditure Survey (FIES) in the Philippines. It contains more than 40k observations and 60 variables which is primarily comprised of the household income and expenditures of that specific household Acknowledgements The Philippine Statistics Authority for providing the publisher with their raw data Inspiration Socio-economic classification models in the Philippines has been very problematic. In fact, not one SEC model has been widely accepted. Government bodies uses their own SEC models and private research entities uses their own. We all know that household income is the greatest indicator of one's socio-economic classification that's why the publisher would like to find out the following: 1) Best model in predicting household income 2) Key drivers of household income, we want to make the model as sparse as possible 3) Some exploratory analysis in the data would also be useful

60 features

Electricity	numeric	2 unique values 0 missing
Household_Head_Class_of_Worker	string	7 unique values 7536 missing
Type_of_Household	string	3 unique values 0 missing
Total_Number_of_Family_members	numeric	21 unique values 0 missing
Members_with_age_less_than_5_year_old	numeric	6 unique values 0 missing
Members_with_age_5_-_17_years_old	numeric	9 unique values 0 missing
Total_number_of_family_members_employed	numeric	9 unique values 0 missing
Type_of_Building/House	string	6 unique values 0 missing
Type_of_Roof	string	7 unique values 0 missing
Type_of_Walls	string	6 unique values 0 missing
House_Floor_Area	numeric	313 unique values 0 missing
House_Age	numeric	111 unique values 0 missing
Number_of_bedrooms	numeric	10 unique values 0 missing
Tenure_Status	string	8 unique values 0 missing
Toilet_Facilities	string	8 unique values 0 missing
Household_Head_Occupation	string	378 unique values 7536 missing
Main_Source_of_Water_Supply	string	11 unique values 0 missing
Number_of_Television	numeric	7 unique values 0 missing
Number_of_CD/VCD/DVD	numeric	6 unique values 0 missing
Number_of_Component/Stereo_set	numeric	6 unique values 0 missing
Number_of_Refrigerator/Freezer	numeric	6 unique values 0 missing
Number_of_Washing_Machine	numeric	4 unique values 0 missing
Number_of_Airconditioner	numeric	6 unique values 0 missing
Number_of_Car,_Jeep,_Van	numeric	6 unique values 0 missing
Number_of_Landline/wireless_telephones	numeric	5 unique values 0 missing
Number_of_Cellular_phone	numeric	11 unique values 0 missing
Number_of_Personal_Computer	numeric	7 unique values 0 missing
Number_of_Stove_with_Oven/Gas_Range	numeric	4 unique values 0 missing
Number_of_Motorized_Banca	numeric	4 unique values 0 missing
Number_of_Motorcycle/Tricycle	numeric	6 unique values 0 missing
Housing_and_water_Expenditure	numeric	13243 unique values 0 missing
Region	string	17 unique values 0 missing
Total_Food_Expenditure	numeric	35776 unique values 0 missing
Main_Source_of_Income	string	3 unique values 0 missing
Agricultural_Household_indicator	numeric	3 unique values 0 missing
Bread_and_Cereals_Expenditure	numeric	26082 unique values 0 missing
Total_Rice_Expenditure	numeric	16145 unique values 0 missing
Meat_Expenditure	numeric	18619 unique values 0 missing
Total_Fish_and__marine_products_Expenditure	numeric	18014 unique values 0 missing
Fruit_Expenditure	numeric	7140 unique values 0 missing
Vegetables_Expenditure	numeric	10599 unique values 0 missing
Restaurant_and_hotels_Expenditure	numeric	12367 unique values 0 missing
Alcoholic_Beverages_Expenditure	numeric	4084 unique values 0 missing
Tobacco_Expenditure	numeric	3118 unique values 0 missing
Clothing,_Footwear_and_Other_Wear_Expenditure	numeric	9819 unique values 0 missing
Total_Household_Income	numeric	38670 unique values 0 missing
Imputed_House_Rental_Value	numeric	266 unique values 0 missing
Medical_Care_Expenditure	numeric	11887 unique values 0 missing
Transportation_Expenditure	numeric	7435 unique values 0 missing
Communication_Expenditure	numeric	3826 unique values 0 missing
Education_Expenditure	numeric	6893 unique values 0 missing
Miscellaneous_Goods_and_Services_Expenditure	numeric	7669 unique values 0 missing
Special_Occasions_Expenditure	numeric	3412 unique values 0 missing
Crop_Farming_and_Gardening_expenses	numeric	9961 unique values 0 missing
Total_Income_from_Entrepreneurial_Acitivites	numeric	20204 unique values 0 missing
Household_Head_Sex	string	2 unique values 0 missing
Household_Head_Age	numeric	89 unique values 0 missing
Household_Head_Marital_Status	string	6 unique values 0 missing
Household_Head_Highest_Grade_Completed	string	46 unique values 0 missing
Household_Head_Job_or_Business_Indicator	string	2 unique values 0 missing