Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, TX
Series ID MHICIUBTX48251A052NCEN
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 31685
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34810
1994-01-01 .
1995-01-01 39095
1996-01-01 .
1997-01-01 40792
1998-01-01 42676
1999-01-01 44472
2000-01-01 47842
2001-01-01 47022
2002-01-01 47333
2003-01-01 48191
2004-01-01 49308
2005-01-01 48345
2006-01-01 53265
2007-01-01 56224
2008-01-01 57128
2009-01-01 58636
2010-01-01 54559
2011-01-01 56858
2012-01-01 59521
2013-01-01 58350
2014-01-01 59975
2015-01-01 62351
2016-01-01 63890
2017-01-01 65791
2018-01-01 66681
2019-01-01 70246
2020-01-01 74789
2021-01-01 81408
2022-01-01 81455

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