Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Garza County, TX
Series ID MHICIUBTX48169A052NCEN
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 21890
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25155
1994-01-01 .
1995-01-01 28310
1996-01-01 .
1997-01-01 29664
1998-01-01 28880
1999-01-01 28019
2000-01-01 30291
2001-01-01 29383
2002-01-01 29430
2003-01-01 30731
2004-01-01 32709
2005-01-01 33772
2006-01-01 35128
2007-01-01 39164
2008-01-01 41207
2009-01-01 47773
2010-01-01 42161
2011-01-01 42994
2012-01-01 43950
2013-01-01 51712
2014-01-01 54821
2015-01-01 59699
2016-01-01 48975
2017-01-01 51637
2018-01-01 51203
2019-01-01 54817
2020-01-01 58617
2021-01-01 49023
2022-01-01 56677
2023-01-01 59783

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