The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 285 new columns ({'SCIENGRLP', 'MARHW', 'FSSP', 'FMILPP', 'POWSP', 'FHINS2P', 'FSCHLP', 'PWGTP76', 'PWGTP24', 'PWGTP56', 'FSSIP', 'FDREMP', 'FHINS3C', 'FHINS3P', 'CIT', 'FPERNP', 'OC', 'PUBCOV', 'FJWDP', 'PWGTP65', 'FMIGP', 'PWGTP52', 'ANC', 'PWGTP40', 'FCITWP', 'ST', 'FHICOVP', 'GCR', 'PWGTP44', 'FANCP', 'FHINS4P', 'MIGSP', 'NOP', 'FSEMP', 'FDISP', 'FFODP', 'PERNP', 'PWGTP20', 'RETP', 'PWGTP66', 'FWKLP', 'PWGTP8', 'ANC1P', 'JWRIP', 'FJWTRP', 'FMARHDP', 'PWGTP36', 'FOD2P', 'NAICSP', 'PWGTP31', 'PWGTP5', 'RACSOR', 'FSCHGP', 'MLPFG', 'PWGTP69', 'PWGTP33', 'PWGTP16', 'NWLK', 'FINTP', 'FPRIVCOVP', 'PWGTP14', 'MAR', 'WRK', 'GCM', 'PWGTP50', 'PWGTP25', 'PWGTP35', 'PWGTP70', 'SSP', 'FPOBP', 'DRIVESP', 'FHINS5P', 'GCL', 'PWGTP41', 'ESR', 'PWGTP18', 'FMARHYP', 'FSCHP', 'FHINS5C', 'PINCP', 'FDEYEP', 'SCH', 'HINS5', 'MLPCD', 'PWGTP27', 'PWGTP60', 'ESP', 'PWGTP34', 'RACBLK', 'PWGTP42', 'RELP', 'PWGTP37', 'FMARHTP', 'PWGTP15', 'WAGP', 'POBP', 'FPOWSP', 'PWGTP68', 'MSP', 'FRACP', 'PWGTP55', 'VPS', 'PWGTP45', 'MIL', 'PWGTP29', 'RAC2P', 'PWGTP59', 'LANX', 'MLPH', 'PWGTP9', 'PWGTP46', 'FMARHWP', 'PWGTP62', 'WKHP', 'PWGTP22', 'ANC2P', 'SERIALNO', 'FCOWP', 'PWGTP23', 'HINS1', 'RAC3P', 'PWGTP6', 'MLPK', 'FGCRP', 'FLANP', 'PWGTP4', 'FDRATXP', 'SPORDER', 'NWLA', 'ADJINC', 'PWGTP10', 'FFERP', 'FJWRIP', 'PWGTP53', 'FWKHP', 'PWGTP19', 'FDEARP', 'AGEP', 'PAP', 'SCIENGP', 'PWGTP77', 'FHINS4C', 'FENGP', 'ENG', 'DEYE', 'JWMNP', 'FOIP', 'NATIVITY', 'MARHM', 'PWGTP11', 'PWGTP12', 'FGCMP', 'FDDRSP', 'RACPI', 'DECADE', 'HINS4', 'FOCCP', 'RAC1P', 'PWGTP30', 'HISP', 'SCHL', 'FDRATP', 'SEX', 'PWGTP26', 'FRELP', 'PWGTP', 'RACAIAN', 'WAOB', 'PWGTP7', 'PAOC', 'PWGTP72', 'MIG', 'FHINS1P', 'FAGEP', 'PWGTP21', 'JWDP', 'FESRP', 'NWRE', 'SOCP', 'PWGTP47', 'FPUBCOVP', 'MLPI', 'PWGTP61', 'FGCLP', 'PWGTP43', 'RACWHT', 'FER', 'FHISP', 'SCHG', 'SFN', 'RC', 'DRATX', 'PWGTP54', 'WKL', 'FOD1P', 'LANP', 'PWGTP63', 'DDRS', 'PWGTP73', 'PWGTP13', 'SFR', 'PWGTP67', 'SEMP', 'RACNUM', 'PWGTP78', 'FHINS7P', 'PWGTP71', 'FPINCP', 'JWAP', 'INTP', 'MLPB', 'HINS6', 'JWTR', 'PWGTP1', 'PWGTP51', 'PWGTP2', 'PWGTP58', 'PWGTP79', 'INDP', 'MLPE', 'FSEXP', 'PWGTP3', 'COW', 'FWKWP', 'FDPHYP', 'FPAP', 'PWGTP48', 'DIVISION', 'OCCP', 'FDOUTP', 'OIP', 'PWGTP75', 'MLPA', 'FMILSP', 'PWGTP28', 'DIS', 'PWGTP17', 'PWGTP39', 'PUMA', 'PWGTP57', 'QTRBIR', 'PWGTP38', 'DRAT', 'MARHD', 'DOUT', 'PWGTP64', 'RACNH', 'FCITP', 'FLANXP', 'FWAGP', 'MIGPUMA', 'HINS7', 'FJWMNP', 'CITWP', 'FMIGSP', 'FMARP', 'FMARHMP', 'REGION', 'PRIVCOV', 'PWGTP80', 'HINS3', 'FHINS6P', 'MLPJ', 'RACASN', 'MARHYP', 'FINDP', 'NWAB', 'DREM', 'NWAV', 'FYOEP', 'PWGTP49', 'HINS2', 'DPHY', 'POVPIP', 'PWGTP74', 'HICOV', 'MARHT', 'WKW', 'YOEP', 'DEAR', 'SSIP', 'POWPUMA', 'PWGTP32', 'FRETP', 'FWRKP'}) and 6 missing columns ({'__index_level_1__', '1', '__index_level_0__', 'C', 'Record Type', 'NAME'}).
This happened while the csv dataset builder was generating data using
hf://datasets/davidboetius/ACSIncome-2018-1-Year/psam_p01.csv (at revision 2c42fc79349462e98c7c8290a5f5e679a0ccd201)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
RT: string
SERIALNO: string
DIVISION: int64
SPORDER: int64
PUMA: int64
REGION: int64
ST: int64
ADJINC: int64
PWGTP: int64
AGEP: int64
CIT: int64
CITWP: double
COW: double
DDRS: double
DEAR: int64
DEYE: int64
DOUT: double
DPHY: double
DRAT: double
DRATX: double
DREM: double
ENG: double
FER: double
GCL: double
GCM: double
GCR: double
HINS1: int64
HINS2: int64
HINS3: int64
HINS4: int64
HINS5: int64
HINS6: int64
HINS7: int64
INTP: double
JWMNP: double
JWRIP: double
JWTR: double
LANX: double
MAR: int64
MARHD: double
MARHM: double
MARHT: double
MARHW: double
MARHYP: double
MIG: double
MIL: double
MLPA: double
MLPB: double
MLPCD: double
MLPE: double
MLPFG: double
MLPH: double
MLPI: double
MLPJ: double
MLPK: double
NWAB: double
NWAV: double
NWLA: double
NWLK: double
NWRE: double
OIP: double
PAP: double
RELP: int64
RETP: double
SCH: double
SCHG: double
SCHL: double
SEMP: double
SEX: int64
SSIP: double
SSP: double
WAGP: double
WKHP: double
WKL: double
WKW: double
WRK: double
YOEP: double
ANC: int64
ANC1P: int64
ANC2P: int64
DECADE: double
DIS: int64
DRIVESP: double
ESP: double
ESR: double
FOD1P: double
FOD2P: double
HICOV: int64
HISP: int64
INDP: double
JWAP: double
JWDP: double
LANP: double
MIGPUMA: double
MIGSP: double
MSP: double
NAICSP: string
NATIVITY: int64
NOP: double
OC: double
OCCP: double
PAOC: double
PERNP: double
PINCP: double
POBP: int64
POVPIP: double
POWPUMA: double
POWSP: double
PRIVCOV: int64
PUBCOV: int64
QTRBIR: int64
RAC1P: int64
RAC2P: int64
RAC3P: int64
RACAIAN: i
...
P: int64
FRELP: int64
FRETP: int64
FSCHGP: int64
FSCHLP: int64
FSCHP: int64
FSEMP: int64
FSEXP: int64
FSSIP: int64
FSSP: int64
FWAGP: int64
FWKHP: int64
FWKLP: int64
FWKWP: int64
FWRKP: int64
FYOEP: int64
PWGTP1: int64
PWGTP2: int64
PWGTP3: int64
PWGTP4: int64
PWGTP5: int64
PWGTP6: int64
PWGTP7: int64
PWGTP8: int64
PWGTP9: int64
PWGTP10: int64
PWGTP11: int64
PWGTP12: int64
PWGTP13: int64
PWGTP14: int64
PWGTP15: int64
PWGTP16: int64
PWGTP17: int64
PWGTP18: int64
PWGTP19: int64
PWGTP20: int64
PWGTP21: int64
PWGTP22: int64
PWGTP23: int64
PWGTP24: int64
PWGTP25: int64
PWGTP26: int64
PWGTP27: int64
PWGTP28: int64
PWGTP29: int64
PWGTP30: int64
PWGTP31: int64
PWGTP32: int64
PWGTP33: int64
PWGTP34: int64
PWGTP35: int64
PWGTP36: int64
PWGTP37: int64
PWGTP38: int64
PWGTP39: int64
PWGTP40: int64
PWGTP41: int64
PWGTP42: int64
PWGTP43: int64
PWGTP44: int64
PWGTP45: int64
PWGTP46: int64
PWGTP47: int64
PWGTP48: int64
PWGTP49: int64
PWGTP50: int64
PWGTP51: int64
PWGTP52: int64
PWGTP53: int64
PWGTP54: int64
PWGTP55: int64
PWGTP56: int64
PWGTP57: int64
PWGTP58: int64
PWGTP59: int64
PWGTP60: int64
PWGTP61: int64
PWGTP62: int64
PWGTP63: int64
PWGTP64: int64
PWGTP65: int64
PWGTP66: int64
PWGTP67: int64
PWGTP68: int64
PWGTP69: int64
PWGTP70: int64
PWGTP71: int64
PWGTP72: int64
PWGTP73: int64
PWGTP74: int64
PWGTP75: int64
PWGTP76: int64
PWGTP77: int64
PWGTP78: int64
PWGTP79: int64
PWGTP80: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 31497
to
{'NAME': Value(dtype='string', id=None), 'RT': Value(dtype='int64', id=None), 'C': Value(dtype='string', id=None), '1': Value(dtype='string', id=None), 'Record Type': Value(dtype='string', id=None), '__index_level_0__': Value(dtype='string', id=None), '__index_level_1__': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1433, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 285 new columns ({'SCIENGRLP', 'MARHW', 'FSSP', 'FMILPP', 'POWSP', 'FHINS2P', 'FSCHLP', 'PWGTP76', 'PWGTP24', 'PWGTP56', 'FSSIP', 'FDREMP', 'FHINS3C', 'FHINS3P', 'CIT', 'FPERNP', 'OC', 'PUBCOV', 'FJWDP', 'PWGTP65', 'FMIGP', 'PWGTP52', 'ANC', 'PWGTP40', 'FCITWP', 'ST', 'FHICOVP', 'GCR', 'PWGTP44', 'FANCP', 'FHINS4P', 'MIGSP', 'NOP', 'FSEMP', 'FDISP', 'FFODP', 'PERNP', 'PWGTP20', 'RETP', 'PWGTP66', 'FWKLP', 'PWGTP8', 'ANC1P', 'JWRIP', 'FJWTRP', 'FMARHDP', 'PWGTP36', 'FOD2P', 'NAICSP', 'PWGTP31', 'PWGTP5', 'RACSOR', 'FSCHGP', 'MLPFG', 'PWGTP69', 'PWGTP33', 'PWGTP16', 'NWLK', 'FINTP', 'FPRIVCOVP', 'PWGTP14', 'MAR', 'WRK', 'GCM', 'PWGTP50', 'PWGTP25', 'PWGTP35', 'PWGTP70', 'SSP', 'FPOBP', 'DRIVESP', 'FHINS5P', 'GCL', 'PWGTP41', 'ESR', 'PWGTP18', 'FMARHYP', 'FSCHP', 'FHINS5C', 'PINCP', 'FDEYEP', 'SCH', 'HINS5', 'MLPCD', 'PWGTP27', 'PWGTP60', 'ESP', 'PWGTP34', 'RACBLK', 'PWGTP42', 'RELP', 'PWGTP37', 'FMARHTP', 'PWGTP15', 'WAGP', 'POBP', 'FPOWSP', 'PWGTP68', 'MSP', 'FRACP', 'PWGTP55', 'VPS', 'PWGTP45', 'MIL', 'PWGTP29', 'RAC2P', 'PWGTP59', 'LANX', 'MLPH', 'PWGTP9', 'PWGTP46', 'FMARHWP', 'PWGTP62', 'WKHP', 'PWGTP22', 'ANC2P', 'SERIALNO', 'FCOWP', 'PWGTP23', 'HINS1', 'RAC3P', 'PWGTP6', 'MLPK', 'FGCRP', 'FLANP', 'PWGTP4', 'FDRATXP', 'SPORDER', 'NWLA', 'ADJINC', 'PWGTP10', 'FFERP', 'FJWRIP', 'PWGTP53', 'FWKHP', 'PWGTP19', 'FDEARP', 'AGEP', 'PAP', 'SCIENGP', 'PWGTP77', 'FHINS4C', 'FENGP', 'ENG', 'DEYE', 'JWMNP', 'FOIP', 'NATIVITY', 'MARHM', 'PWGTP11', 'PWGTP12', 'FGCMP', 'FDDRSP', 'RACPI', 'DECADE', 'HINS4', 'FOCCP', 'RAC1P', 'PWGTP30', 'HISP', 'SCHL', 'FDRATP', 'SEX', 'PWGTP26', 'FRELP', 'PWGTP', 'RACAIAN', 'WAOB', 'PWGTP7', 'PAOC', 'PWGTP72', 'MIG', 'FHINS1P', 'FAGEP', 'PWGTP21', 'JWDP', 'FESRP', 'NWRE', 'SOCP', 'PWGTP47', 'FPUBCOVP', 'MLPI', 'PWGTP61', 'FGCLP', 'PWGTP43', 'RACWHT', 'FER', 'FHISP', 'SCHG', 'SFN', 'RC', 'DRATX', 'PWGTP54', 'WKL', 'FOD1P', 'LANP', 'PWGTP63', 'DDRS', 'PWGTP73', 'PWGTP13', 'SFR', 'PWGTP67', 'SEMP', 'RACNUM', 'PWGTP78', 'FHINS7P', 'PWGTP71', 'FPINCP', 'JWAP', 'INTP', 'MLPB', 'HINS6', 'JWTR', 'PWGTP1', 'PWGTP51', 'PWGTP2', 'PWGTP58', 'PWGTP79', 'INDP', 'MLPE', 'FSEXP', 'PWGTP3', 'COW', 'FWKWP', 'FDPHYP', 'FPAP', 'PWGTP48', 'DIVISION', 'OCCP', 'FDOUTP', 'OIP', 'PWGTP75', 'MLPA', 'FMILSP', 'PWGTP28', 'DIS', 'PWGTP17', 'PWGTP39', 'PUMA', 'PWGTP57', 'QTRBIR', 'PWGTP38', 'DRAT', 'MARHD', 'DOUT', 'PWGTP64', 'RACNH', 'FCITP', 'FLANXP', 'FWAGP', 'MIGPUMA', 'HINS7', 'FJWMNP', 'CITWP', 'FMIGSP', 'FMARP', 'FMARHMP', 'REGION', 'PRIVCOV', 'PWGTP80', 'HINS3', 'FHINS6P', 'MLPJ', 'RACASN', 'MARHYP', 'FINDP', 'NWAB', 'DREM', 'NWAV', 'FYOEP', 'PWGTP49', 'HINS2', 'DPHY', 'POVPIP', 'PWGTP74', 'HICOV', 'MARHT', 'WKW', 'YOEP', 'DEAR', 'SSIP', 'POWPUMA', 'PWGTP32', 'FRETP', 'FWRKP'}) and 6 missing columns ({'__index_level_1__', '1', '__index_level_0__', 'C', 'Record Type', 'NAME'}).
This happened while the csv dataset builder was generating data using
hf://datasets/davidboetius/ACSIncome-2018-1-Year/psam_p01.csv (at revision 2c42fc79349462e98c7c8290a5f5e679a0ccd201)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
NAME
string | RT
int64 | C
string | 1
string | Record Type
string | __index_level_0__
string | __index_level_1__
string |
|---|---|---|---|---|---|---|
C
| 1 |
H
|
H
|
Housing Record or Group Quarters Unit
|
VAL
|
RT
|
C
| 1 |
P
|
P
|
Person Record
|
VAL
|
RT
|
C
| 13 |
Housing unit/GQ person serial number
| null | null |
NAME
|
SERIALNO
|
C
| 13 |
2018GQ0000001
|
2018GQ9999999
|
GQ Unique identifier
|
VAL
|
SERIALNO
|
C
| 13 |
2018HU0000001
|
2018HU9999999
|
HU Unique identifier
|
VAL
|
SERIALNO
|
C
| 1 |
Division code based on 2010 Census definitions
| null | null |
NAME
|
DIVISION
|
C
| 1 |
0
|
0
|
Puerto Rico
|
VAL
|
DIVISION
|
C
| 1 |
1
|
1
|
New England (Northeast region)
|
VAL
|
DIVISION
|
C
| 1 |
2
|
2
|
Middle Atlantic (Northeast region)
|
VAL
|
DIVISION
|
C
| 1 |
3
|
3
|
East North Central (Midwest region)
|
VAL
|
DIVISION
|
C
| 1 |
4
|
4
|
West North Central (Midwest region)
|
VAL
|
DIVISION
|
C
| 1 |
5
|
5
|
South Atlantic (South region)
|
VAL
|
DIVISION
|
C
| 1 |
6
|
6
|
East South Central (South region)
|
VAL
|
DIVISION
|
C
| 1 |
7
|
7
|
West South Central (South Region)
|
VAL
|
DIVISION
|
C
| 1 |
8
|
8
|
Mountain (West region)
|
VAL
|
DIVISION
|
C
| 1 |
9
|
9
|
Pacific (West region)
|
VAL
|
DIVISION
|
C
| 5 |
Public use microdata area code (PUMA) based on 2010 Census definition (areas with population of 100,000 or more, use with ST for unique code)
| null | null |
NAME
|
PUMA
|
C
| 5 |
00100
|
70301
|
Public use microdata area codes
|
VAL
|
PUMA
|
C
| 1 |
Region code based on 2010 Census definitions
| null | null |
NAME
|
REGION
|
C
| 1 |
1
|
1
|
Northeast
|
VAL
|
REGION
|
C
| 1 |
2
|
2
|
Midwest
|
VAL
|
REGION
|
C
| 1 |
3
|
3
|
South
|
VAL
|
REGION
|
C
| 1 |
4
|
4
|
West
|
VAL
|
REGION
|
C
| 1 |
9
|
9
|
Puerto Rico
|
VAL
|
REGION
|
C
| 2 |
State Code based on 2010 Census definitions
| null | null |
NAME
|
ST
|
C
| 2 |
01
|
01
|
Alabama/AL
|
VAL
|
ST
|
C
| 2 |
02
|
02
|
Alaska/AK
|
VAL
|
ST
|
C
| 2 |
04
|
04
|
Arizona/AZ
|
VAL
|
ST
|
C
| 2 |
05
|
05
|
Arkansas/AR
|
VAL
|
ST
|
C
| 2 |
06
|
06
|
California/CA
|
VAL
|
ST
|
C
| 2 |
08
|
08
|
Colorado/CO
|
VAL
|
ST
|
C
| 2 |
09
|
09
|
Connecticut/CT
|
VAL
|
ST
|
C
| 2 |
10
|
10
|
Delaware/DE
|
VAL
|
ST
|
C
| 2 |
11
|
11
|
District of Columbia/DC
|
VAL
|
ST
|
C
| 2 |
12
|
12
|
Florida/FL
|
VAL
|
ST
|
C
| 2 |
13
|
13
|
Georgia/GA
|
VAL
|
ST
|
C
| 2 |
15
|
15
|
Hawaii/HI
|
VAL
|
ST
|
C
| 2 |
16
|
16
|
Idaho/ID
|
VAL
|
ST
|
C
| 2 |
17
|
17
|
Illinois/IL
|
VAL
|
ST
|
C
| 2 |
18
|
18
|
Indiana/IN
|
VAL
|
ST
|
C
| 2 |
19
|
19
|
Iowa/IA
|
VAL
|
ST
|
C
| 2 |
20
|
20
|
Kansas/KS
|
VAL
|
ST
|
C
| 2 |
21
|
21
|
Kentucky/KY
|
VAL
|
ST
|
C
| 2 |
22
|
22
|
Louisiana/LA
|
VAL
|
ST
|
C
| 2 |
23
|
23
|
Maine/ME
|
VAL
|
ST
|
C
| 2 |
24
|
24
|
Maryland/MD
|
VAL
|
ST
|
C
| 2 |
25
|
25
|
Massachusetts/MA
|
VAL
|
ST
|
C
| 2 |
26
|
26
|
Michigan/MI
|
VAL
|
ST
|
C
| 2 |
27
|
27
|
Minnesota/MN
|
VAL
|
ST
|
C
| 2 |
28
|
28
|
Mississippi/MS
|
VAL
|
ST
|
C
| 2 |
29
|
29
|
Missouri/MO
|
VAL
|
ST
|
C
| 2 |
30
|
30
|
Montana/MT
|
VAL
|
ST
|
C
| 2 |
31
|
31
|
Nebraska/NE
|
VAL
|
ST
|
C
| 2 |
32
|
32
|
Nevada/NV
|
VAL
|
ST
|
C
| 2 |
33
|
33
|
New Hampshire/NH
|
VAL
|
ST
|
C
| 2 |
34
|
34
|
New Jersey/NJ
|
VAL
|
ST
|
C
| 2 |
35
|
35
|
New Mexico/NM
|
VAL
|
ST
|
C
| 2 |
36
|
36
|
New York/NY
|
VAL
|
ST
|
C
| 2 |
37
|
37
|
North Carolina/NC
|
VAL
|
ST
|
C
| 2 |
38
|
38
|
North Dakota/ND
|
VAL
|
ST
|
C
| 2 |
39
|
39
|
Ohio/OH
|
VAL
|
ST
|
C
| 2 |
40
|
40
|
Oklahoma/OK
|
VAL
|
ST
|
C
| 2 |
41
|
41
|
Oregon/OR
|
VAL
|
ST
|
C
| 2 |
42
|
42
|
Pennsylvania/PA
|
VAL
|
ST
|
C
| 2 |
44
|
44
|
Rhode Island/RI
|
VAL
|
ST
|
C
| 2 |
45
|
45
|
South Carolina/SC
|
VAL
|
ST
|
C
| 2 |
46
|
46
|
South Dakota/SD
|
VAL
|
ST
|
C
| 2 |
47
|
47
|
Tennessee/TN
|
VAL
|
ST
|
C
| 2 |
48
|
48
|
Texas/TX
|
VAL
|
ST
|
C
| 2 |
49
|
49
|
Utah/UT
|
VAL
|
ST
|
C
| 2 |
50
|
50
|
Vermont/VT
|
VAL
|
ST
|
C
| 2 |
51
|
51
|
Virginia/VA
|
VAL
|
ST
|
C
| 2 |
53
|
53
|
Washington/WA
|
VAL
|
ST
|
C
| 2 |
54
|
54
|
West Virginia/WV
|
VAL
|
ST
|
C
| 2 |
55
|
55
|
Wisconsin/WI
|
VAL
|
ST
|
C
| 2 |
56
|
56
|
Wyoming/WY
|
VAL
|
ST
|
C
| 2 |
72
|
72
|
Puerto Rico/PR
|
VAL
|
ST
|
C
| 7 |
Adjustment factor for housing dollar amounts (6 implied decimal places)
| null | null |
NAME
|
ADJHSG
|
C
| 7 |
1000000
|
1000000
|
2018 factor (1.000000)
|
VAL
|
ADJHSG
|
C
| 7 |
Adjustment factor for income and earnings dollar amounts (6 implied decimal places)
| null | null |
NAME
|
ADJINC
|
C
| 7 |
1013097
|
1013097
|
2018 factor (1.013097)
|
VAL
|
ADJINC
|
N
| 5 |
Housing Unit Weight
| null | null |
NAME
|
WGTP
|
N
| 5 |
0
|
0
|
Group quarters place holder record
|
VAL
|
WGTP
|
N
| 5 |
1
|
9999
|
Integer weight of housing unit
|
VAL
|
WGTP
|
N
| 2 |
Number of persons in this household
| null | null |
NAME
|
NP
|
N
| 2 |
0
|
0
|
Vacant unit
|
VAL
|
NP
|
N
| 2 |
1
|
1
|
One person in household or any person in group quarters
|
VAL
|
NP
|
N
| 2 |
2
|
20
|
Number of persons in household
|
VAL
|
NP
|
C
| 1 |
Type of unit
| null | null |
NAME
|
TYPE
|
C
| 1 |
1
|
1
|
Housing unit
|
VAL
|
TYPE
|
C
| 1 |
2
|
2
|
Institutional group quarters
|
VAL
|
TYPE
|
C
| 1 |
3
|
3
|
Noninstitutional group quarters
|
VAL
|
TYPE
|
C
| 1 |
Access to the Internet
| null | null |
NAME
|
ACCESS
|
C
| 1 |
b
|
b
|
N/A (GQ/vacant)
|
VAL
|
ACCESS
|
C
| 1 |
1
|
1
|
Yes, by paying a cell phone company or Internet service provider
|
VAL
|
ACCESS
|
C
| 1 |
2
|
2
|
Yes, without paying a cell phone company or Internet service provider
|
VAL
|
ACCESS
|
C
| 1 |
3
|
3
|
No access to the Internet at this house, apartment, or mobile home
|
VAL
|
ACCESS
|
C
| 1 |
Lot size
| null | null |
NAME
|
ACR
|
C
| 1 |
b
|
b
|
N/A (GQ/not a one-family house or mobile home)
|
VAL
|
ACR
|
C
| 1 |
1
|
1
|
House on less than one acre
|
VAL
|
ACR
|
End of preview.
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