Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Runnels County, TX
Series ID MHICILBTX48399A052NCEN
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 16468
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19215
1994-01-01 .
1995-01-01 20592
1996-01-01 .
1997-01-01 21572
1998-01-01 22426
1999-01-01 25331
2000-01-01 26503
2001-01-01 26280
2002-01-01 25834
2003-01-01 26148
2004-01-01 27553
2005-01-01 27304
2006-01-01 28318
2007-01-01 30592
2008-01-01 32230
2009-01-01 31799
2010-01-01 29556
2011-01-01 31439
2012-01-01 32259
2013-01-01 33192
2014-01-01 34708
2015-01-01 35566
2016-01-01 35963
2017-01-01 37590
2018-01-01 38590
2019-01-01 43946
2020-01-01 46007
2021-01-01 42957
2022-01-01 46953
2023-01-01 58554

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