Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hill County, TX
Series ID MHICIUBTX48217A052NCEN
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 2:31 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 21805
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24693
1994-01-01 .
1995-01-01 28377
1996-01-01 .
1997-01-01 30578
1998-01-01 31719
1999-01-01 32443
2000-01-01 34549
2001-01-01 33483
2002-01-01 33651
2003-01-01 34513
2004-01-01 35445
2005-01-01 36731
2006-01-01 39920
2007-01-01 42237
2008-01-01 40632
2009-01-01 42347
2010-01-01 41663
2011-01-01 42463
2012-01-01 40232
2013-01-01 43281
2014-01-01 44856
2015-01-01 47220
2016-01-01 50691
2017-01-01 51558
2018-01-01 52399
2019-01-01 57614
2020-01-01 62672
2021-01-01 57859
2022-01-01 62604
2023-01-01 65089

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