Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Karnes County, TX
Series ID MHICILBTX48255A052NCEN
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 3:12 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 15347
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17075
1994-01-01 .
1995-01-01 18120
1996-01-01 .
1997-01-01 19994
1998-01-01 21058
1999-01-01 23911
2000-01-01 24810
2001-01-01 24226
2002-01-01 23950
2003-01-01 24730
2004-01-01 25409
2005-01-01 26170
2006-01-01 28229
2007-01-01 28704
2008-01-01 30060
2009-01-01 31040
2010-01-01 32310
2011-01-01 32498
2012-01-01 33731
2013-01-01 39444
2014-01-01 39383
2015-01-01 42595
2016-01-01 42567
2017-01-01 43916
2018-01-01 43434
2019-01-01 48542
2020-01-01 47493
2021-01-01 42428
2022-01-01 54854
2023-01-01 54068

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