Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Scurry County, TX
Series ID MHICIUBTX48415A052NCEN
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 27124
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30325
1994-01-01 .
1995-01-01 32671
1996-01-01 .
1997-01-01 35380
1998-01-01 35538
1999-01-01 33000
2000-01-01 35135
2001-01-01 34454
2002-01-01 34916
2003-01-01 35740
2004-01-01 38487
2005-01-01 40207
2006-01-01 42837
2007-01-01 48330
2008-01-01 46516
2009-01-01 49999
2010-01-01 48087
2011-01-01 50478
2012-01-01 53758
2013-01-01 58028
2014-01-01 62229
2015-01-01 62613
2016-01-01 55198
2017-01-01 57222
2018-01-01 58482
2019-01-01 62123
2020-01-01 65607
2021-01-01 53948
2022-01-01 67579
2023-01-01 75944

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