Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sheridan County, MT
Series ID MHICILBMT30091A052NCEN
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 1:54 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 19619
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23915
1994-01-01 .
1995-01-01 26311
1996-01-01 .
1997-01-01 26693
1998-01-01 26458
1999-01-01 28163
2000-01-01 29103
2001-01-01 28493
2002-01-01 27318
2003-01-01 27616
2004-01-01 29692
2005-01-01 29595
2006-01-01 30633
2007-01-01 31818
2008-01-01 36167
2009-01-01 38144
2010-01-01 37030
2011-01-01 40533
2012-01-01 43277
2013-01-01 45302
2014-01-01 47470
2015-01-01 45652
2016-01-01 44269
2017-01-01 44500
2018-01-01 46557
2019-01-01 44945
2020-01-01 42772
2021-01-01 49259
2022-01-01 57332

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