Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cochran County, TX
Series ID MHICIUBTX48079A052NCEN
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 22367
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25834
1994-01-01 .
1995-01-01 28667
1996-01-01 .
1997-01-01 29592
1998-01-01 29640
1999-01-01 29167
2000-01-01 30201
2001-01-01 30082
2002-01-01 28900
2003-01-01 28813
2004-01-01 31696
2005-01-01 33065
2006-01-01 33360
2007-01-01 36087
2008-01-01 37839
2009-01-01 36589
2010-01-01 38845
2011-01-01 41383
2012-01-01 38873
2013-01-01 40931
2014-01-01 43970
2015-01-01 43472
2016-01-01 44103
2017-01-01 45374
2018-01-01 47555
2019-01-01 49037
2020-01-01 51375
2021-01-01 47187
2022-01-01 51649

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