Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kleberg County, TX
Series ID MHICILBTX48273A052NCEN
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 19187
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22520
1994-01-01 .
1995-01-01 23217
1996-01-01 .
1997-01-01 24813
1998-01-01 25440
1999-01-01 26396
2000-01-01 27419
2001-01-01 27190
2002-01-01 27173
2003-01-01 28539
2004-01-01 29568
2005-01-01 29741
2006-01-01 29524
2007-01-01 33462
2008-01-01 33100
2009-01-01 34040
2010-01-01 33920
2011-01-01 32808
2012-01-01 35791
2013-01-01 35467
2014-01-01 36564
2015-01-01 36145
2016-01-01 40508
2017-01-01 36904
2018-01-01 39033
2019-01-01 41767
2020-01-01 45274
2021-01-01 43490
2022-01-01 45066
2023-01-01 46861

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