Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hill County, TX
Series ID MHICILBTX48217A052NCEN
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 17283
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20175
1994-01-01 .
1995-01-01 22223
1996-01-01 .
1997-01-01 24368
1998-01-01 25621
1999-01-01 28447
2000-01-01 29758
2001-01-01 29203
2002-01-01 29329
2003-01-01 30436
2004-01-01 31248
2005-01-01 31594
2006-01-01 34672
2007-01-01 35460
2008-01-01 35408
2009-01-01 35708
2010-01-01 35503
2011-01-01 35905
2012-01-01 34988
2013-01-01 37225
2014-01-01 38186
2015-01-01 42710
2016-01-01 43985
2017-01-01 42766
2018-01-01 44941
2019-01-01 48806
2020-01-01 50458
2021-01-01 47131
2022-01-01 52528

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