Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kleberg County, TX
Series ID MHICIUBTX48273A052NCEN
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 23723
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27053
1994-01-01 .
1995-01-01 29373
1996-01-01 .
1997-01-01 30999
1998-01-01 31575
1999-01-01 30055
2000-01-01 31850
2001-01-01 31188
2002-01-01 31184
2003-01-01 32373
2004-01-01 33556
2005-01-01 35619
2006-01-01 34940
2007-01-01 40554
2008-01-01 40218
2009-01-01 40859
2010-01-01 40916
2011-01-01 39588
2012-01-01 42683
2013-01-01 43055
2014-01-01 45204
2015-01-01 43987
2016-01-01 47704
2017-01-01 45610
2018-01-01 46177
2019-01-01 52571
2020-01-01 57874
2021-01-01 54962
2022-01-01 57618

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