Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Texas County, OK
Series ID MHICIUBOK40139A052NCEN
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 3:11 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 26851
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31777
1994-01-01 .
1995-01-01 33529
1996-01-01 .
1997-01-01 39380
1998-01-01 40978
1999-01-01 39324
2000-01-01 41979
2001-01-01 40031
2002-01-01 36993
2003-01-01 36450
2004-01-01 37124
2005-01-01 40567
2006-01-01 41529
2007-01-01 45728
2008-01-01 48677
2009-01-01 46819
2010-01-01 48351
2011-01-01 48943
2012-01-01 49419
2013-01-01 51310
2014-01-01 54200
2015-01-01 56130
2016-01-01 55756
2017-01-01 53155
2018-01-01 55127
2019-01-01 62281
2020-01-01 70131
2021-01-01 62448
2022-01-01 66853
2023-01-01 75359

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