Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Karnes County, TX
Series ID MHICIUBTX48255A052NCEN
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 19939
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21637
1994-01-01 .
1995-01-01 24313
1996-01-01 .
1997-01-01 26441
1998-01-01 27527
1999-01-01 27380
2000-01-01 28943
2001-01-01 27952
2002-01-01 27631
2003-01-01 28215
2004-01-01 28974
2005-01-01 31178
2006-01-01 33705
2007-01-01 34932
2008-01-01 36728
2009-01-01 37912
2010-01-01 37630
2011-01-01 39310
2012-01-01 40853
2013-01-01 47382
2014-01-01 48589
2015-01-01 51663
2016-01-01 52649
2017-01-01 53500
2018-01-01 54052
2019-01-01 61144
2020-01-01 64519
2021-01-01 54512
2022-01-01 68866
2023-01-01 70050

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