Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, TX
Series ID MHICILBTX48159A052NCEN
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 2:32 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 19734
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23634
1994-01-01 .
1995-01-01 24182
1996-01-01 .
1997-01-01 26739
1998-01-01 27789
1999-01-01 29501
2000-01-01 30979
2001-01-01 30940
2002-01-01 31675
2003-01-01 34536
2004-01-01 33634
2005-01-01 33413
2006-01-01 34641
2007-01-01 36289
2008-01-01 35808
2009-01-01 36097
2010-01-01 36838
2011-01-01 36787
2012-01-01 36980
2013-01-01 37392
2014-01-01 37733
2015-01-01 39228
2016-01-01 39649
2017-01-01 39547
2018-01-01 43297
2019-01-01 45199
2020-01-01 55356
2021-01-01 45546
2022-01-01 49684
2023-01-01 52387

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