Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Teton County, WY
Series ID MHICILBWY56039A052NCEN
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 1:11 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 29785
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34899
1994-01-01 .
1995-01-01 38502
1996-01-01 .
1997-01-01 42893
1998-01-01 43614
1999-01-01 49027
2000-01-01 52073
2001-01-01 53498
2002-01-01 52956
2003-01-01 53397
2004-01-01 55269
2005-01-01 54821
2006-01-01 60153
2007-01-01 66424
2008-01-01 66986
2009-01-01 62303
2010-01-01 63496
2011-01-01 62121
2012-01-01 60507
2013-01-01 64447
2014-01-01 68986
2015-01-01 75090
2016-01-01 75630
2017-01-01 80434
2018-01-01 88142
2019-01-01 86531
2020-01-01 82976
2021-01-01 90132
2022-01-01 113980

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