Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, TX
Series ID MHICILBTX48251A052NCEN
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 3:12 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 27294
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30410
1994-01-01 .
1995-01-01 33100
1996-01-01 .
1997-01-01 34727
1998-01-01 36681
1999-01-01 39058
2000-01-01 41154
2001-01-01 41045
2002-01-01 41303
2003-01-01 42553
2004-01-01 43533
2005-01-01 42469
2006-01-01 48066
2007-01-01 49911
2008-01-01 50511
2009-01-01 53541
2010-01-01 50161
2011-01-01 51966
2012-01-01 53797
2013-01-01 53570
2014-01-01 51877
2015-01-01 55019
2016-01-01 55728
2017-01-01 57835
2018-01-01 58589
2019-01-01 62830
2020-01-01 59975
2021-01-01 71044
2022-01-01 72039
2023-01-01 78154

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