Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hockley County, TX
Series ID MHICIUBTX48219A052NCEN
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 3:11 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 26818
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30822
1994-01-01 .
1995-01-01 32423
1996-01-01 .
1997-01-01 34354
1998-01-01 34165
1999-01-01 32549
2000-01-01 34550
2001-01-01 34059
2002-01-01 33787
2003-01-01 34806
2004-01-01 36042
2005-01-01 39511
2006-01-01 39882
2007-01-01 44827
2008-01-01 46085
2009-01-01 45135
2010-01-01 44081
2011-01-01 46414
2012-01-01 49794
2013-01-01 52421
2014-01-01 53213
2015-01-01 51992
2016-01-01 51579
2017-01-01 52021
2018-01-01 51221
2019-01-01 56403
2020-01-01 63113
2021-01-01 56485
2022-01-01 63188
2023-01-01 66399

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