Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wheeler County, TX
Series ID MHICIUBTX48483A052NCEN
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 25031
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25659
1994-01-01 .
1995-01-01 29143
1996-01-01 .
1997-01-01 31955
1998-01-01 32123
1999-01-01 32396
2000-01-01 34764
2001-01-01 34813
2002-01-01 33152
2003-01-01 36610
2004-01-01 38167
2005-01-01 39847
2006-01-01 40974
2007-01-01 43198
2008-01-01 47072
2009-01-01 48118
2010-01-01 45011
2011-01-01 49886
2012-01-01 51488
2013-01-01 56308
2014-01-01 57623
2015-01-01 55037
2016-01-01 52260
2017-01-01 49511
2018-01-01 53327
2019-01-01 61956
2020-01-01 56090
2021-01-01 55306
2022-01-01 61587

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