Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Ochiltree County, TX
Series ID MHICIUBTX48357A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 PM 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 29555
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33982
1994-01-01 .
1995-01-01 36044
1996-01-01 .
1997-01-01 39766
1998-01-01 41547
1999-01-01 40502
2000-01-01 43547
2001-01-01 43533
2002-01-01 40707
2003-01-01 42440
2004-01-01 44181
2005-01-01 45378
2006-01-01 48099
2007-01-01 56000
2008-01-01 56684
2009-01-01 60655
2010-01-01 55727
2011-01-01 57898
2012-01-01 61153
2013-01-01 66578
2014-01-01 67898
2015-01-01 73952
2016-01-01 67731
2017-01-01 65107
2018-01-01 54527
2019-01-01 69505
2020-01-01 80609
2021-01-01 68047
2022-01-01 77462

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