Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crosby County, TX
Series ID MHICIUBTX48107A052NCEN
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 22263
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24323
1994-01-01 .
1995-01-01 24582
1996-01-01 .
1997-01-01 26178
1998-01-01 25918
1999-01-01 26203
2000-01-01 28344
2001-01-01 28187
2002-01-01 28259
2003-01-01 29969
2004-01-01 31452
2005-01-01 31940
2006-01-01 33377
2007-01-01 35839
2008-01-01 36010
2009-01-01 34778
2010-01-01 36309
2011-01-01 35687
2012-01-01 38517
2013-01-01 38895
2014-01-01 39749
2015-01-01 37824
2016-01-01 38568
2017-01-01 40596
2018-01-01 41788
2019-01-01 42848
2020-01-01 48954
2021-01-01 46877
2022-01-01 51657

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