Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Leon County, TX
Series ID MHICIUBTX48289A052NCEN
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 2:31 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 21082
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25108
1994-01-01 .
1995-01-01 29405
1996-01-01 .
1997-01-01 30769
1998-01-01 31796
1999-01-01 32444
2000-01-01 34710
2001-01-01 34260
2002-01-01 34272
2003-01-01 34892
2004-01-01 36428
2005-01-01 38093
2006-01-01 40071
2007-01-01 42453
2008-01-01 45086
2009-01-01 42403
2010-01-01 44648
2011-01-01 47322
2012-01-01 46285
2013-01-01 47574
2014-01-01 49764
2015-01-01 52490
2016-01-01 49691
2017-01-01 47599
2018-01-01 52146
2019-01-01 56558
2020-01-01 60147
2021-01-01 57759
2022-01-01 62616
2023-01-01 66615

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