Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McMullen County, TX
Series ID MHICIUBTX48311A052NCEN
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 29268
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32215
1994-01-01 .
1995-01-01 33303
1996-01-01 .
1997-01-01 37436
1998-01-01 38151
1999-01-01 35089
2000-01-01 37702
2001-01-01 37604
2002-01-01 36600
2003-01-01 36968
2004-01-01 37372
2005-01-01 39466
2006-01-01 40295
2007-01-01 41506
2008-01-01 44151
2009-01-01 45120
2010-01-01 48907
2011-01-01 51420
2012-01-01 54710
2013-01-01 62449
2014-01-01 68062
2015-01-01 67089
2016-01-01 74579
2017-01-01 74533
2018-01-01 71767
2019-01-01 76527
2020-01-01 47556
2021-01-01 71292
2022-01-01 76756

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