The Ranking composite index procedure allows to rank the cases and to examine the index structure in a report card. The Ranking procedure arrange the cases according to the score they receive when is used an index composed from many indicators.

 The Ranking procedure offers the following information:

• The index composition and the weight of each indicators
• The list of cases (arranged in ascendant or descendant order) according to the index score (the colors code is similar to the procedure Standards)
• The map with the cases colored according to the place in the index hierarchy
• Report cards for each of the cases (regions) in analysis. Each report card contains the indicators used in the index composition and how is placed according to the average for all cases in analysis. If the value of the indicator is under the average the bar is placed on the left and if the value is above the average the bar is placed on the right.

Positive and negative weights can be assigned if the indicators used are "desirable features" and "undesirable features". In Report Cards, green shows a relative strength of a case in comparison with the other cases for the respective variable. Green is displayed on bars showing values higher than average for "desirable" features and values below average for "undesirable" features. Red shows a relative weakness of a case in comparison with all the other cases. Red is displayed on bars with values below average for "desirable" features and with values higher than average for "undesirable" features. The width of the bars is proportional to the variables' weights. This way, the impact of changing weights "on-the-fly" is immediately perceived in the changed amount of color on the Report Cards. The weight of each variable is displayed on the left of each bar.

Example: Ranking procedure for the HEALTH_1 index . We choose to divide the cases (municipalities) in 3 equal groups (we used 2 breaks and equal number of cases).

 Index Composition : HEALTH_1

Ранг [Rank] Признак [Index] Вариант [Case] ЦВЕТ [COLOR] 1 100.00 KIRISHI DISTRICT 2 96.71 TOWN OF SOSNOVY BOR 3 95.02 TOWN OF GATCHINA 4 90.86 TOWN OF VOLKHOV 5 80.54 TIKHVIN DISTRICT 6 78.16 TOWN OF PIKALYOVO 7 77.71 GATCHINA DISTRICT 8 75.30 TOWN OF IVANGOROD 9 74.67 TOWN OF SVETOGORSK 10 74.42 LODEYNOYE POLE DISTRICT 11 64.85 TOWN OF SCHLISSELBURG 12 64.05 VYBORG DISTRICT 13 59.60 TOSNO DISTRICT 14 59.30 PODPOROZHJE DISTRICT 15 53.58 LOMONOSOVSKY DISTRICT 16 52.77 SETTLEMENT OF KUZNECHNOYE 17 51.53 VSEVOLOZHSK DISTRICT 18 49.44 SLANTSY DISTRICT 19 48.03 TOWN OF NOVAYA LADOGA 20 44.43 TOWN OF KOMMUNAR 21 41.61 KINGISEPP DISTRICT 22 39.72 KIROVSK DISTRICT 23 37.55 LUGA DISTRICT 24 34.56 VOLOSOVO DISTRICT 25 29.33 SERTOLOVO 26 28.46 PRIOZERSK DISTRICT 27 25.41 BOKSITOGORSK DISTRICT 28 6.78 KOLTUSHI VOLOST 29 0.00 VOLKHOV DISTRICT

Group 1- the green group includes the regions with good situation according to the index used Group 2- the yellow group includes the regions at the middle of the hierarchy Group 3- the red group includes the regions with poor situation according to the index used

The ranking report cards allow to compare different regions and identify the similarities and the differences.

TOWN OF GATCHINA - Ранг [Rank:] 3

TOWN OF VOLKHOV - Ранг [Rank:] 4

If we select, for example, two towns (TOWN OF GATCHINA and TOWN OF VOLKHOV) we can observe that there are similarities but also differences between them. 

Town of GATCHINA has a poor situation regarding the hospital places per 1000 population meanwhile the Town of VOLKHOV shows a poor situation for indicator INFANT MORTALITY (the values of the indicator for VOLKHOV are over the average) 

Therefore, the targeted interventions must differ according to the needs of each region.

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