Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Willacy County, TX
Series ID MHICILBTX48489A052NCEN
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 1:53 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 12297
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14468
1994-01-01 .
1995-01-01 15807
1996-01-01 .
1997-01-01 15107
1998-01-01 15955
1999-01-01 19735
2000-01-01 20821
2001-01-01 20243
2002-01-01 20349
2003-01-01 22036
2004-01-01 22878
2005-01-01 22077
2006-01-01 22938
2007-01-01 22735
2008-01-01 26237
2009-01-01 23446
2010-01-01 25624
2011-01-01 25578
2012-01-01 26605
2013-01-01 26050
2014-01-01 26700
2015-01-01 27190
2016-01-01 28432
2017-01-01 27486
2018-01-01 29564
2019-01-01 32469
2020-01-01 34512
2021-01-01 32645
2022-01-01 37495

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