Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Willacy County, TX
Series ID MHICIUBTX48489A052NCEN
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 16959
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19232
1994-01-01 .
1995-01-01 22302
1996-01-01 .
1997-01-01 22106
1998-01-01 22871
1999-01-01 22723
2000-01-01 24361
2001-01-01 23349
2002-01-01 23450
2003-01-01 25121
2004-01-01 26132
2005-01-01 26296
2006-01-01 27510
2007-01-01 27187
2008-01-01 31921
2009-01-01 28745
2010-01-01 30990
2011-01-01 31396
2012-01-01 31845
2013-01-01 31840
2014-01-01 32864
2015-01-01 33384
2016-01-01 34018
2017-01-01 33298
2018-01-01 36778
2019-01-01 39173
2020-01-01 45868
2021-01-01 41529
2022-01-01 45801

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