Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sherman County, TX
Series ID MHICILBTX48421A052NCEN
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 3:12 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 25868
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28926
1994-01-01 .
1995-01-01 26391
1996-01-01 .
1997-01-01 31814
1998-01-01 34310
1999-01-01 31528
2000-01-01 32728
2001-01-01 32303
2002-01-01 28846
2003-01-01 31207
2004-01-01 32566
2005-01-01 32900
2006-01-01 33373
2007-01-01 34640
2008-01-01 39180
2009-01-01 38843
2010-01-01 37532
2011-01-01 40073
2012-01-01 41830
2013-01-01 43283
2014-01-01 44366
2015-01-01 48762
2016-01-01 49760
2017-01-01 43993
2018-01-01 50737
2019-01-01 48706
2020-01-01 55878
2021-01-01 54613
2022-01-01 65403
2023-01-01 57443

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