Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Texas County, OK

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Texas County, OK
Series ID MHICILBOK40139A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:32 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 22191
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26793
1994-01-01 .
1995-01-01 27350
1996-01-01 .
1997-01-01 32685
1998-01-01 34313
1999-01-01 34235
2000-01-01 35630
2001-01-01 34356
2002-01-01 31293
2003-01-01 31431
2004-01-01 32062
2005-01-01 33976
2006-01-01 35303
2007-01-01 38410
2008-01-01 40873
2009-01-01 38487
2010-01-01 40275
2011-01-01 40157
2012-01-01 40979
2013-01-01 42518
2014-01-01 45360
2015-01-01 46054
2016-01-01 46230
2017-01-01 43669
2018-01-01 48497
2019-01-01 49747
2020-01-01 52537
2021-01-01 50010
2022-01-01 54585
2023-01-01 60443

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