Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Swisher County, TX
Series ID MHICILBTX48437A052NCEN
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 1:53 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 18588
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22059
1994-01-01 .
1995-01-01 22462
1996-01-01 .
1997-01-01 25244
1998-01-01 26751
1999-01-01 27855
2000-01-01 28567
2001-01-01 27783
2002-01-01 25519
2003-01-01 27308
2004-01-01 27865
2005-01-01 28985
2006-01-01 29137
2007-01-01 29491
2008-01-01 30541
2009-01-01 28580
2010-01-01 30542
2011-01-01 32298
2012-01-01 33524
2013-01-01 32234
2014-01-01 33528
2015-01-01 36467
2016-01-01 34561
2017-01-01 37332
2018-01-01 38379
2019-01-01 39072
2020-01-01 34118
2021-01-01 39757
2022-01-01 45422

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