Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Prairie County, MT
Series ID MHICIUBMT30079A052NCEN
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 3:11 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 20794
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26479
1994-01-01 .
1995-01-01 25588
1996-01-01 .
1997-01-01 28528
1998-01-01 28362
1999-01-01 29026
2000-01-01 29803
2001-01-01 30292
2002-01-01 28786
2003-01-01 30311
2004-01-01 33424
2005-01-01 33445
2006-01-01 34712
2007-01-01 36194
2008-01-01 37032
2009-01-01 36571
2010-01-01 36139
2011-01-01 38426
2012-01-01 39513
2013-01-01 44996
2014-01-01 44336
2015-01-01 46549
2016-01-01 48320
2017-01-01 47771
2018-01-01 47473
2019-01-01 52342
2020-01-01 52086
2021-01-01 51592
2022-01-01 56250
2023-01-01 59423

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